add docker

.dockerignore

@@ -0,0 +1,7 @@
+.env
+.git
+.pytest_cache
+.venv
+__pycache__
+*.py[cod]
+tests

.env.example

@@ -0,0 +1,27 @@
+# Override the .env file path (default: .env in working directory)
+
+# --- Database ---
+DB_HOST=
+DB_PORT=
+DB_USER=
+DB_PASSWORD=
+DB_SCHEMA=
+DB_CONNECT_TIMEOUT=30
+DB_POOL_SIZE=5
+DB_MAX_OVERFLOW=10
+DB_POOL_TIMEOUT=30
+DB_POOL_RECYCLE=1800
+DB_POOL_PRE_PING=true
+
+# --- Query limits ---
+QUERY_MAX_ROWS=1000
+QUERY_MAX_BYTES=262144
+QUERY_MAX_CELL_CHARS=4096
+QUERY_TIMEOUT_SECONDS=30
+QUERY_ALLOW_WRITE=False
+
+# --- MCP server ---
+MCP_TRANSPORT=stdio
+MCP_HOST=127.0.0.1
+MCP_PORT=8000
+LOG_LEVEL=INFO

.gitignore

@@ -0,0 +1,25 @@
+# Python
+__pycache__/
+*.py[cod]
+*.egg-info/
+.python-version
+
+# Environments and local configuration
+.venv/
+.env
+!.env.example
+
+# Tests and tooling
+.coverage
+.pytest_cache/
+.ruff_cache/
+htmlcov/
+
+# Builds
+build/
+dist/
+
+# Editors
+.idea/
+
+tests/

Dockerfile

@@ -0,0 +1,24 @@
+FROM python:3.12-slim
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    UV_COMPILE_BYTECODE=1 \
+    UV_LINK_MODE=copy
+
+WORKDIR /app
+
+COPY --from=ghcr.io/astral-sh/uv:0.9.17 /uv /uvx /bin/
+
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev --no-install-project
+
+COPY src ./src
+RUN uv sync --frozen --no-dev
+
+RUN useradd -m -s /bin/bash appuser
+USER appuser
+ENV PATH="/app/.venv/bin:$PATH"
+
+EXPOSE 8000
+
+CMD ["mcp"]

README.md

@@ -0,0 +1,288 @@
+# mini-db-mcp
+
+一个面向关系型数据库的轻量级 MCP（Model Context Protocol）服务。项目基于 Python MCP SDK 和 SQLAlchemy，当前支持 MySQL，并通过**渐进式披露**减少一次性注入模型上下文的工具定义数量。
+
+## 特性
+
+- 支持 `stdio` 与无状态 Streamable HTTP 两种传输方式
+- 采用“领域工具 -> 子工具”的两阶段发现与执行流程
+- 提供数据库对象浏览、表结构查看和字段采样能力
+- 查询默认只读，并提供行数、响应大小、单元格长度和超时限制
+- 同时返回 `structuredContent` 与兼容旧客户端的 JSON 文本内容
+- 支持工具列表和元数据结果分页
+
+## 工作原理
+
+项目不会在初始化时把所有子工具定义一次性暴露给模型，而是按需加载：
+
+1. MCP 客户端通过 `tools/list` 获取顶层领域工具，例如 `metadata`。
+2. 第一次调用领域工具时传入空参数，服务返回该领域的子工具清单及其输入、输出 Schema。
+3. 模型选择子工具后，再通过 `child_tool` 和 `child_arguments` 发起第二次调用。
+4. 服务校验参数并将请求路由到对应处理器，最终返回结构化结果。
+
+```mermaid
+sequenceDiagram
+    participant Client as MCP Client
+    participant Server as mini-db-mcp
+    participant DB as MySQL
+    Client->>Server: tools/list
+    Server-->>Client: metadata
+    Client->>Server: tools/call metadata, arguments={}
+    Server-->>Client: child tool manifest
+    Client->>Server: tools/call metadata, child_tool + child_arguments
+    Server->>DB: execute metadata query
+    DB-->>Server: result
+    Server-->>Client: structuredContent + JSON text
+```
+
+当前提供以下领域和子工具：
+
+| 领域 | 子工具 | 用途 |
+| --- | --- | --- |
+| `metadata` | `list_tables` | 分页列出当前数据库中的表和视图 |
+| `metadata` | `describe_table` | 分页查看指定表或视图的字段结构 |
+| `metadata` | `sample_values` | 获取指定字段的去重样例值 |
+| `query` | `execute_query` | 执行单条 SQL；根据 `QUERY_ALLOW_WRITE` 校验读写权限，并受查询超时和结果大小限制 |
+
+主要入口位于 [`src/mini_db_mcp/server.py`](src/mini_db_mcp/server.py)，渐进式工具发现与调用逻辑位于 [`src/mini_db_mcp/tools.py`](src/mini_db_mcp/tools.py)。
+
+## 环境要求
+
+- Python 3.12+
+- 可访问的 MySQL 数据库
+- 推荐使用 [uv](https://docs.astral.sh/uv/) 管理依赖
+
+## 快速开始
+
+### 1. 安装依赖
+
+```powershell
+uv sync
+```
+
+### 2. 创建本地配置
+
+启动前必须先将示例配置复制为 `.env`。
+
+Windows PowerShell：
+
+```powershell
+Copy-Item .env.example .env
+```
+
+macOS / Linux：
+
+```bash
+cp .env.example .env
+```
+
+随后编辑 `.env`，至少填写数据库连接信息：
+
+```dotenv
+DB_HOST=127.0.0.1
+DB_PORT=3306
+DB_USER=root
+DB_PASSWORD=your_password
+DB_SCHEMA=your_database
+```
+
+不要提交 `.env`。仓库仅跟踪不含真实凭据的 `.env.example`。
+
+### 3. 启动服务
+
+默认使用 `stdio`，适合由本地 MCP 客户端拉起：
+
+```powershell
+uv run mcp
+```
+
+也可以通过模块入口启动：
+
+```powershell
+uv run python -m mini_db_mcp
+```
+
+如需使用 Streamable HTTP，将 `.env` 中的传输方式改为：
+
+```dotenv
+MCP_TRANSPORT=http
+MCP_HOST=127.0.0.1
+MCP_PORT=8000
+```
+
+然后运行：
+
+```powershell
+uv run mcp
+```
+
+MCP 端点为 `http://127.0.0.1:8000/mcp`。
+
+### Docker Compose
+
+先按上文创建并填写 `.env`，然后启动服务：
+
+```powershell
+docker compose up --build -d
+```
+
+Compose 会强制使用 HTTP 传输，并将 MCP 端点暴露为 `http://127.0.0.1:8000/mcp`。
+
+停止服务：
+
+```powershell
+docker compose down
+```
+
+## MCP 客户端配置
+
+使用 `stdio` 的客户端可参考以下配置。请将项目路径替换为本机的绝对路径：
+
+```json
+{
+  "mcpServers": {
+    "mini-db-mcp": {
+      "command": "uv",
+      "args": [
+        "--directory",
+        "C:\\path\\to\\mini-db-mcp",
+        "run",
+        "mcp"
+      ]
+    }
+  }
+}
+```
+
+服务从项目工作目录读取 `.env`，因此客户端配置必须将工作目录指向仓库根目录。
+
+## CallTool 示例
+
+第一次调用 `metadata` 时不传业务参数，用于获取当前可用的子工具定义：
+
+```json
+{
+  "name": "metadata",
+  "arguments": {}
+}
+```
+
+返回结果的 `mode` 为 `manifest`，其中 `children` 包含子工具名称、说明及 JSON Schema。选择子工具后进行第二次调用：
+
+```json
+{
+  "name": "metadata",
+  "arguments": {
+    "child_tool": "list_tables",
+    "child_arguments": {
+      "keyword": "user",
+      "limit": 20
+    }
+  }
+}
+```
+
+成功结果的 `mode` 为 `result`；参数错误、未知子工具或执行失败时，`mode` 为 `error`，同时 MCP 响应的 `isError` 会被设置为 `true`。
+
+`query` 领域同样采用两阶段调用。先发现 SQL 执行子工具：
+
+```json
+{
+  "name": "query",
+  "arguments": {}
+}
+```
+
+然后选择 `execute_query` 并提供 SQL：
+
+```json
+{
+  "name": "query",
+  "arguments": {
+    "child_tool": "execute_query",
+    "child_arguments": {
+      "sql": "SELECT id, name FROM users"
+    }
+  }
+}
+```
+
+## 配置
+
+配置从项目工作目录下的 `.env` 加载。下表列出 [config.py](src/mini_db_mcp/config.py) 中的代码默认值；[.env.example](.env.example) 包含全部受支持的配置项，但示例值（如数据库连接信息）可以与代码默认值不同。
+
+| 配置项 | 默认值 | 说明 |
+| --- | --- | --- |
+| `DB_HOST` | `127.0.0.1` | 数据库主机 |
+| `DB_PORT` | `3306` | 数据库端口 |
+| `DB_USER` | `root` | 数据库用户 |
+| `DB_PASSWORD` | 空 | 数据库密码 |
+| `DB_SCHEMA` | 空 | 默认数据库 Schema |
+| `DB_CONNECT_TIMEOUT` | `30` | 建立数据库连接的超时时间（秒） |
+| `DB_POOL_SIZE` | `5` | 数据库连接池常驻连接数 |
+| `DB_MAX_OVERFLOW` | `10` | 连接池允许超出的连接数 |
+| `DB_POOL_TIMEOUT` | `30` | 等待连接池可用连接的超时时间（秒） |
+| `DB_POOL_RECYCLE` | `1800` | 连接回收时间（秒） |
+| `DB_POOL_PRE_PING` | `true` | 从连接池取出连接前是否检查连接有效性 |
+| `QUERY_MAX_ROWS` | `1000` | 单次查询最大返回行数 |
+| `QUERY_MAX_BYTES` | `262144` | 单次响应最大字节数 |
+| `QUERY_MAX_CELL_CHARS` | `4096` | 单个字段值最大字符数 |
+| `QUERY_TIMEOUT_SECONDS` | `30` | 查询超时时间（秒） |
+| `QUERY_ALLOW_WRITE` | `false` | 是否允许写操作，建议保持关闭 |
+| `MCP_TRANSPORT` | `stdio` | 传输方式：`stdio` 或 `http` |
+| `MCP_HOST` | `127.0.0.1` | HTTP 监听地址 |
+| `MCP_PORT` | `8000` | HTTP 监听端口 |
+| `LOG_LEVEL` | `INFO` | 日志级别 |
+
+## 开发与测试
+
+安装开发依赖并运行测试：
+
+```powershell
+uv sync --dev
+uv run pytest
+```
+
+使用 MCP Inspector 调试 `stdio` 服务：
+
+```powershell
+npx @modelcontextprotocol/inspector uv run mcp
+```
+
+## 项目结构
+
+```text
+src/mini_db_mcp/
+|-- __init__.py             # 包版本信息
+|-- __main__.py             # python -m mini_db_mcp 入口
+|-- main.py                 # 命令行入口、日志与传输方式选择
+|-- config.py               # 数据库、查询和服务配置
+|-- db.py                   # 异步数据库访问、元数据读取和查询执行
+|-- security.py             # SQL 解析、安全校验、写入策略和行数限制
+|-- prompts.py              # MCP Prompt 定义与处理
+|-- server.py               # MCP Server 组装与 stdio / HTTP 启动
+|-- tools.py                # 渐进式工具发现、参数校验、路由和结果封装
+|-- domain/
+|   |-- domain_catalog.py   # 领域和子工具的输入/输出 Schema
+|   |-- domain_manifest.py  # 将领域定义转换为 MCP 顶层工具
+|   |-- domain_model.py     # 领域、请求、错误模型及 JSON 序列化
+|   |-- domain_handler.py   # Handler 协议与领域处理器注册表
+|   |-- domain_handler_factory.py # 创建 runtime、handler 并组装注册表
+|   |-- runtime/
+|   |   |-- metadata_runtime.py   # 元数据参数校验、store 调用和结果整理
+|   |   `-- query_runtime.py      # SQL 校验、安全处理、store 调用和结果补充
+|   `-- handler/
+|       |-- metadata_handler.py   # 元数据子工具到 runtime 的映射
+|       `-- query_handler.py      # execute_query 到 query runtime 的映射
+`-- utils/
+    |-- json_util.py              # JSON 值转换与校验
+    `-- pagination_util.py        # 游标分页
+```
+
+
+## 安全建议
+
+- 使用权限最小化的专用数据库账号。
+- 保持 `QUERY_ALLOW_WRITE=false`，除非明确需要写入能力并已完成额外审计。
+- 不要在 MCP 客户端配置或版本库中直接保存数据库密码。
+- 对 HTTP 部署增加反向代理、身份认证、TLS 和网络访问控制；当前服务默认仅监听本机地址。

compose.yaml

@@ -0,0 +1,11 @@
+services:
+  mini-db-mcp:
+    build: .
+    env_file:
+      - .env
+    environment:
+      MCP_TRANSPORT: http
+      MCP_HOST: 0.0.0.0
+    ports:
+      - "${MCP_PORT:-8000}:8000"
+    restart: unless-stopped

pyproject.toml

@@ -0,0 +1,35 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "mini-db-mcp"
+version = "0.1.0"
+description = "A minimal database MCP server"
+requires-python = ">=3.12"
+dependencies = [
+    "mcp>=2.0.0,<2.1.0",
+    "pydantic>=2.11,<3",
+    "sqlalchemy[asyncio]>=2.0.30",
+    "aiomysql>=0.3.0",
+    "pydantic-settings>=2.15.0",
+    "sqlglot>=27.0",
+    "uvicorn>=0.30,<1",
+]
+
+[project.scripts]
+mcp = "mini_db_mcp.main:main"
+
+[dependency-groups]
+dev = [
+    "pytest>=8.4",
+    "pytest-asyncio>=1.0",
+]
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/mini_db_mcp"]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+asyncio_mode = "auto"
+addopts = ["--strict-config", "--strict-markers"]

src/mini_db_mcp/__init__.py

@@ -0,0 +1,8 @@
+"""Mini DB MCP – a minimal database MCP server."""
+
+from importlib.metadata import PackageNotFoundError, version
+
+try:
+    __version__ = version("mini-db-mcp")
+except PackageNotFoundError:
+    __version__ = "0.0.0"

src/mini_db_mcp/__main__.py

@@ -0,0 +1,4 @@
+from .main import main
+
+if __name__ == "__main__":
+    main()

src/mini_db_mcp/config.py

@@ -0,0 +1,50 @@
+from typing import Literal
+
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+_ENV_FILE = ".env"
+
+
+class DatabaseConfig(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="DB_", env_file=_ENV_FILE, extra="ignore")
+
+    host: str = "127.0.0.1"
+    port: int = 3306
+    user: str = "root"
+    password: str = ""
+    schema: str = ""
+    connect_timeout: int = 30
+    pool_size: int = 5
+    max_overflow: int = 10
+    pool_timeout: int = 30
+    pool_recycle: int = 1800
+    pool_pre_ping: bool = True
+
+
+class QueryConfig(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="QUERY_", env_file=_ENV_FILE, extra="ignore")
+
+    max_rows: int = 1000
+    max_bytes: int = 262_144
+    max_cell_chars: int = 4_096
+    timeout_seconds: int = 30
+    allow_write: bool = False
+
+
+class ServerConfig(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="MCP_", env_file=_ENV_FILE, extra="ignore")
+
+    transport: Literal["stdio", "http"] = "stdio"
+    host: str = "127.0.0.1"
+    port: int = 8000
+    # LOG_LEVEL has no MCP_ prefix so it's declared with an explicit alias
+    log_level: str = Field(default="INFO", validation_alias="LOG_LEVEL")
+
+
+class Config(BaseSettings):
+    model_config = SettingsConfigDict(env_file=_ENV_FILE, extra="ignore")
+
+    database: DatabaseConfig = Field(default_factory=DatabaseConfig)
+    query: QueryConfig = Field(default_factory=QueryConfig)
+    server: ServerConfig = Field(default_factory=ServerConfig)

src/mini_db_mcp/db.py

@@ -0,0 +1,318 @@
+import asyncio
+import base64
+import json
+from time import monotonic
+from typing import Any, Iterable, Sequence
+from datetime import datetime, date, time
+from decimal import Decimal
+from uuid import UUID
+from sqlalchemy import URL, inspect, Table, MetaData, select
+from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine
+from sqlalchemy.exc import SQLAlchemyError
+
+from mini_db_mcp.config import Config
+from mini_db_mcp.utils.pagination_util import paginate_list
+
+
+class QueryExecutionError(RuntimeError):
+    def __init__(
+        self,
+        code: str,
+        message: str | None = None,
+        *,
+        retryable: bool = False,
+    ) -> None:
+        self.code = code
+        self.message = message or code
+        self.retryable = retryable
+        super().__init__(self.message)
+
+class Database:
+    def __init__(self, settings: Config):
+        self.settings = settings
+        self.database = settings.database
+        url = URL.create(
+            "mysql+aiomysql",
+            username=self.database.user,
+            password=self.database.password,
+            host=self.database.host,
+            port=self.database.port,
+            database=self.database.schema or None,
+        )
+        self.engine: AsyncEngine = create_async_engine(
+            url,
+            pool_size=self.database.pool_size,
+            max_overflow=self.database.max_overflow,
+            pool_timeout=self.database.pool_timeout,
+            pool_recycle=self.database.pool_recycle,
+            pool_pre_ping=self.database.pool_pre_ping,
+            connect_args={"connect_timeout": self.database.connect_timeout},
+        )
+
+    async def close(self) -> None:
+        await self.engine.dispose()
+
+
+    async def list_tables(
+        self,
+        *,
+        keyword: str | None,
+        limit: int,
+        cursor: str | None,
+    ) -> tuple[list[dict[str, Any]], str | None]:
+        """Return one name-sorted page of tables and views.
+
+        ``keyword`` filters object names case-insensitively. ``cursor`` must be
+        the last object name returned by the previous page. The returned cursor
+        is ``None`` when no additional objects remain.
+
+        Raises:
+            ValueError: If the cursor is not present in the filtered result.
+        """
+        schema = self.settings.database.schema or None
+
+        def inspect_tables(sync_connection):
+            inspector = inspect(sync_connection)
+            table_names = set(inspector.get_table_names(schema=schema))
+            try:
+                view_names = set(inspector.get_view_names(schema=schema))
+            except NotImplementedError:
+                view_names = set()
+            return table_names, view_names
+
+        async with self.engine.connect() as connection:
+            table_names, view_names = await connection.run_sync(inspect_tables)
+
+        keyword_cf = keyword.casefold() if keyword else None
+        sorted_table_names = sorted(
+            name
+            for name in table_names | view_names
+            if keyword_cf is None or keyword_cf in name.casefold()
+        )
+
+        paged_table_names, next_cursor = paginate_list(
+            sorted_table_names,
+            cursor=cursor,
+            page_size=limit,
+            identifier=lambda name: name,
+        )
+
+        objects: list[dict[str, Any]] = []
+        for name in paged_table_names:
+            object_type = "view" if name in view_names else "table"
+            objects.append(
+                {
+                    "schema_name": schema,
+                    "object_name": name,
+                    "object_type": object_type,
+                    "description": None,
+                }
+            )
+        return objects, next_cursor
+
+
+    async def describe_table(
+        self,
+        *,
+        table_name: str,
+        schema: str | None = None,
+        limit: int,
+        cursor: str | None,
+    ) -> dict[str, Any]:
+        """Return one cursor-paginated page of a table's columns."""
+        effective_schema = schema or self.settings.database.schema or None
+
+        def inspect_table(sync_connection):
+            inspector = inspect(sync_connection)
+            columns = inspector.get_columns(table_name, schema=effective_schema)
+            primary_keys = set(
+                (
+                    inspector.get_pk_constraint(
+                        table_name,
+                        schema=effective_schema,
+                    )
+                    or {}
+                ).get("constrained_columns") or []
+            )
+            try:
+                table_description = (
+                    inspector.get_table_comment(
+                        table_name,
+                        schema=effective_schema,
+                    )
+                    or {}
+                ).get("text")
+            except NotImplementedError:
+                table_description = None
+            return columns, primary_keys, table_description
+
+        try:
+            async with self.engine.connect() as connection:
+                columns, primary_keys, table_description = await connection.run_sync(
+                    inspect_table
+                )
+        except SQLAlchemyError as exc:
+            raise QueryExecutionError(f"Failed to read table metadata: {exc}") from exc
+
+        paged_columns, next_cursor = paginate_list(
+            columns,
+            cursor=cursor,
+            page_size=limit,
+            identifier=lambda column: column["name"],
+        )
+        visible_columns: list[dict[str, Any]] = []
+        for column in paged_columns:
+            visible_columns.append(
+                {
+                    "name": column["name"],
+                    "data_type": str(column.get("type")),
+                    "nullable": column.get("nullable"),
+                    "primary_key": column["name"] in primary_keys,
+                    "description": column.get("comment"),
+                }
+            )
+
+        return {
+            "schema_name": effective_schema,
+            "table_name": table_name,
+            "table_description": table_description,
+            "columns": visible_columns,
+            "next_cursor": next_cursor,
+            "truncated": next_cursor is not None,
+        }
+
+
+    async def sample_values(
+        self,         
+        *,
+        table_name: str,
+        schema: str | None = None,
+        column: str,
+        limit: int
+    ) -> tuple[list[Any], bool]:
+        effective_schema = schema or self.settings.database.schema or None
+        metadata = MetaData()
+        try:
+            async with self.engine.connect() as connection:
+                table_obj = await connection.run_sync(
+                    lambda sync_connection: Table(
+                        table_name,
+                        metadata,
+                        schema=effective_schema,
+                        autoload_with=sync_connection,
+                    )
+                )
+        except SQLAlchemyError as exc:
+            raise QueryExecutionError("metadata_error", f"反射表结构失败：{exc}") from exc
+        try:
+            column_obj = table_obj.c[column]
+        except KeyError as exc:
+            raise QueryExecutionError(
+                "metadata_error", f"列不存在：{table_name}.{column}"
+            ) from exc
+        statement = (
+            select(column_obj)
+            .where(column_obj.is_not(None))
+            .distinct()
+            .limit(limit + 1)
+        )
+        try:
+            async with self.engine.connect() as connection:
+                result = await connection.execute(statement)
+                values = [row[0] for row in result]
+        except SQLAlchemyError as exc:
+            raise QueryExecutionError("query_failed", f"采样查询失败：{exc}") from exc
+        truncated = len(values) > limit
+        return [
+            _serialize_scalar(
+                value,
+                max_chars=self.settings.query.max_cell_chars,
+            )
+            for value in values[:limit]
+        ], truncated
+
+    async def execute_guarded(self, sql: str) -> dict[str, Any]:
+        start = monotonic()
+        try:
+            async with asyncio.timeout(self.settings.query.timeout_seconds):
+                async with self.engine.connect() as connection:
+                    result = await connection.exec_driver_sql(sql)
+                    columns = list(result.keys())
+                    raw_rows: Iterable[Any] = result
+                    rows, truncated = bound_rows(
+                        columns,
+                        raw_rows,
+                        max_rows=self.settings.query.max_rows,
+                        max_bytes=self.settings.query.max_bytes,
+                        max_cell_chars=self.settings.query.max_cell_chars,
+                    )
+        except SQLAlchemyError as exc:
+            raise QueryExecutionError(
+                "query_failed",
+                "查询执行失败，请检查 SQL、权限及数据库状态。",
+            ) from exc
+        except TimeoutError as exc:
+            raise QueryExecutionError(
+                "query_timeout",
+                "查询超过执行时间上限，已中断。",
+                retryable=True,
+            ) from exc
+
+        return {
+            "columns": columns,
+            "rows": rows,
+            "row_count": len(rows),
+            "truncated": truncated,
+            "elapsed_ms": int((monotonic() - start) * 1000),
+        }
+
+
+def bound_rows(
+    columns: Sequence[str],
+    source_rows: Iterable[Sequence[Any]],
+    *,
+    max_rows: int,
+    max_bytes: int,
+    max_cell_chars: int,
+) -> tuple[list[list[Any]], bool]:
+    """Bound model-facing output by rows and serialized byte size.
+
+    This only limits what is returned to the model. It does not limit the amount of
+    data the database may scan; query timeouts and database workload governance are
+    separate controls.
+    """
+
+    rows: list[list[Any]] = []
+    truncated = False
+    base_size = len(json.dumps({"columns": list(columns), "rows": []}, ensure_ascii=False).encode("utf-8"))
+    current_size = base_size
+
+    for raw_row in source_rows:
+        if len(rows) >= max_rows:
+            truncated = True
+            break
+        row = [_serialize_scalar(value, max_chars=max_cell_chars) for value in raw_row]
+        row_size = len(json.dumps(row, ensure_ascii=False, default=str).encode("utf-8"))
+        if current_size + row_size > max_bytes:
+            truncated = True
+            break
+        rows.append(row)
+        current_size += row_size
+
+    return rows, truncated
+
+
+def _serialize_scalar(value: Any, *, max_chars: int) -> Any:
+    if value is None or isinstance(value, (bool, int, float)):
+        return value
+    if isinstance(value, Decimal):
+        return str(value)
+    if isinstance(value, (datetime, date, time, UUID)):
+        return value.isoformat() if hasattr(value, "isoformat") else str(value)
+    if isinstance(value, (bytes, bytearray, memoryview)):
+        text = base64.b64encode(bytes(value)).decode("ascii")
+    else:
+        text = str(value)
+    if len(text) > max_chars:
+        return text[:max_chars] + "…[truncated]"
+    return text

src/mini_db_mcp/domain/domain_catalog.py

@@ -0,0 +1,315 @@
+from typing import Annotated, Any
+from pydantic import Field
+
+from mini_db_mcp.domain.domain_model import DomainBaseModel, DomainDefinition, ChildToolDefinition
+
+
+class DomainCatalog(DomainBaseModel):
+    """Catalog for top-domains and child tools."""
+
+    domains: Annotated[tuple[DomainDefinition, ...], Field(min_length=1, max_length=12)]
+
+
+def _input_schema(
+    properties: dict[str, Any],
+    *,
+    required: tuple[str, ...] = (),
+    any_of: tuple[dict[str, Any], ...] = (),
+    one_of: tuple[dict[str, Any], ...] = (),
+) -> dict[str, Any]:
+    schema: dict[str, Any] = {
+        "type": "object",
+        "properties": properties,
+        "additionalProperties": False,
+    }
+    if required:
+        schema["required"] = list(required)
+    if any_of:
+        schema["anyOf"] = list(any_of)
+    if one_of:
+        schema["oneOf"] = list(one_of)
+    return schema
+
+
+
+_DETAIL_OUTPUT = {"type": "object", "additionalProperties": True}
+
+_LIST_TABLES_OUTPUT = {
+    "type": "object",
+    "properties": {
+        "items": {
+            "type": "array",
+            "items": {
+                "type": "object",
+                "properties": {
+                    "schema_name": {"type": ["string", "null"]},
+                    "object_name": {"type": "string"},
+                    "object_type": {"type": "string", "enum": ["table", "view"]},
+                    "description": {"type": ["string", "null"]},
+                },
+                "required": [
+                    "schema_name",
+                    "object_name",
+                    "object_type",
+                    "description",
+                ],
+                "additionalProperties": False,
+            },
+        },
+        "next_cursor": {
+            "type": ["string", "null"],
+            "description": "Cursor for the next page, or null when no more objects remain.",
+        },
+        "truncated": {"type": "boolean"},
+    },
+    "required": ["items", "next_cursor", "truncated"],
+    "additionalProperties": False,
+}
+
+_DESCRIBE_TABLE_OUTPUT = {
+    "type": "object",
+    "properties": {
+        "schema_name": {"type": ["string", "null"]},
+        "table_name": {"type": "string"},
+        "table_description": {"type": ["string", "null"]},
+        "columns": {
+            "type": "array",
+            "items": {
+                "type": "object",
+                "properties": {
+                    "name": {"type": "string"},
+                    "data_type": {"type": "string"},
+                    "nullable": {"type": ["boolean", "null"]},
+                    "primary_key": {"type": "boolean"},
+                    "description": {"type": ["string", "null"]},
+                },
+                "required": [
+                    "name",
+                    "data_type",
+                    "nullable",
+                    "primary_key",
+                    "description",
+                ],
+                "additionalProperties": False,
+            },
+        },
+        "next_cursor": {"type": ["string", "null"]},
+        "truncated": {"type": "boolean"},
+    },
+    "required": [
+        "schema_name",
+        "table_name",
+        "table_description",
+        "columns",
+        "next_cursor",
+        "truncated",
+    ],
+    "additionalProperties": False,
+}
+
+_SAMPLE_VALUES_OUTPUT = {
+    "type": "object",
+    "properties": {
+        "values": {"type": "array"},
+        "truncated": {"type": "boolean"},
+    },
+    "required": ["values", "truncated"],
+    "additionalProperties": False,
+}
+
+_QUERY_OUTPUT = {
+    "type": "object",
+    "properties": {
+        "columns": {"type": "array", "items": {"type": "string"}},
+        "rows": {"type": "array", "items": {"type": "array", "items": {}}},
+        "row_count": {"type": "integer", "minimum": 0},
+        "truncated": {"type": "boolean"},
+        "elapsed_ms": {"type": "integer", "minimum": 0},
+        "executed_sql": {"type": "string"},
+        "referenced_objects": {"type": "array", "items": {"type": "string"}},
+    },
+    "required": [
+        "columns",
+        "rows",
+        "row_count",
+        "truncated",
+        "elapsed_ms",
+        "executed_sql",
+        "referenced_objects",
+    ],
+    "additionalProperties": False,
+}
+
+
+def _domain(
+    *,
+    name: str,
+    title: str,
+    description: str,
+    children: tuple[ChildToolDefinition, ...],
+) -> DomainDefinition:
+    return DomainDefinition(
+        domain_name=name,
+        domain_title=title,
+        domain_description=description,
+        children=children
+    )
+
+
+def _child(
+    *,
+    domain: str,
+    name: str,
+    title: str,
+    description: str, 
+    input_schema: dict[str, Any],
+    output_schema: dict[str, Any] = _DETAIL_OUTPUT,
+) -> ChildToolDefinition:
+    return ChildToolDefinition(
+        tool_name=name,
+        tool_title=title,
+        tool_description=description,
+        input_schema=input_schema,
+        output_schema=output_schema,
+    )
+
+
+def _string(
+    description: str,
+    *,
+    enum: tuple[str, ...] | None = None,
+    pattern: str | None = None,
+    max_length: int | None = None,
+) -> dict[str, Any]:
+    schema: dict[str, Any] = {"type": "string", "description": description}
+    if enum is not None:
+        schema["enum"] = list(enum)
+    if pattern is not None:
+        schema["pattern"] = pattern
+    if max_length is not None:
+        schema["maxLength"] = max_length
+    return schema
+
+
+def _string_array(
+    description: str,
+    *,
+    enum: tuple[str, ...] | None = None,
+    min_items: int = 1,
+) -> dict[str, Any]:
+    item_schema: dict[str, Any] = {"type": "string"}
+    if enum is not None:
+        item_schema["enum"] = list(enum)
+    return {
+        "type": "array",
+        "description": description,
+        "items": item_schema,
+        "minItems": min_items,
+        "uniqueItems": True,
+    }
+
+
+DOMAIN_DEFINITIONS = (
+    _domain(
+        name="metadata",
+        title="Metadata",
+        description="Provides semantic metadata and a catalog of available business entities.",
+        children=(
+            _child(
+                domain="metadata",
+                name="list_tables",
+                title="List Tables",
+                description="Lists authorized database tables and views available for querying.",
+                input_schema=_input_schema(
+                    {
+                        "keyword": _string("Optional case-insensitive object-name filter."),
+                        "cursor": {
+                            "type": ["string", "null"],
+                            "description": "Cursor returned by the previous page; omit for the first page.",
+                        },
+                        "limit": {
+                            "type": "integer",
+                            "description": "Maximum number of matching objects to return.",
+                            "minimum": 1,
+                            "default": 100,
+                        },
+                    },
+                ),
+                output_schema=_LIST_TABLES_OUTPUT,
+            ),
+            _child(
+                domain="metadata",
+                name="describe_table",
+                title="Describe Table",
+                description="Returns a cursor-paginated description of table columns.",
+                input_schema=_input_schema(
+                    {
+                        "table_name": _string("Table or view name."),
+                        "schema": _string("Optional schema name."),
+                        "cursor": {
+                            "type": ["string", "null"],
+                            "description": "Last column name from the previous page.",
+                        },
+                        "limit": {
+                            "type": "integer",
+                            "description": "Maximum number of columns to return.",
+                            "minimum": 1,
+                            "default": 100,
+                        },
+                    },
+                    required=("table_name",),
+                ),
+                output_schema=_DESCRIBE_TABLE_OUTPUT,
+            ),
+            _child(
+                domain="metadata",
+                name="sample_values",
+                title="Sample Values",
+                description="Returns distinct non-null sample values for one column.",
+                input_schema=_input_schema(
+                    {
+                        "table_name": _string("Table or view name."),
+                        "schema": _string("Optional schema name."),
+                        "column": _string("Column name."),
+                        "limit": {
+                            "type": "integer",
+                            "description": "Maximum number of distinct values to return.",
+                            "minimum": 1,
+                            "maximum": 1000,
+                            "default": 20,
+                        },
+                    },
+                    required=("table_name", "column"),
+                ),
+                output_schema=_SAMPLE_VALUES_OUTPUT,
+            ),
+        ),
+    ),
+
+    _domain(
+        name="query",
+        title="Query",
+        description="Validates and executes SQL according to the configured database query policy.",
+        children=(
+            _child(
+                domain="query",
+                name="execute_query",
+                title="Execute Query",
+                description="Executes one SQL statement subject to the configured read/write policy, timeout, and result limits.",
+                input_schema=_input_schema(
+                    {
+                        "sql": _string(
+                            "A single SQL statement to execute. Read-only mode is enforced by default.",
+                            max_length=200_000,
+                        ),
+                    },
+                    required=("sql",),
+                ),
+                output_schema=_QUERY_OUTPUT,
+            ),
+        ),
+    )
+)
+
+
+DOMAIN_CATALOG = DomainCatalog(domains=DOMAIN_DEFINITIONS)

src/mini_db_mcp/domain/domain_handler.py

@@ -0,0 +1,72 @@
+from collections.abc import Awaitable, Callable, Iterable
+from typing import Any, Protocol
+
+
+ToolHandler = Callable[[dict[str, Any]], Awaitable[dict[str, Any]]]
+
+
+class HandlerRegistryError(ValueError):
+    """Raised when handler providers contain an invalid binding."""
+
+
+class HandlerArgumentsError(ValueError):
+    """Raised when a handler cannot represent validated domain arguments."""
+
+
+class HandlerProvider(Protocol):
+    """Expose the child tools owned by one domain."""
+
+    domain_name: str
+
+    @property
+    def handler_names(self) -> frozenset[str]: ...
+
+    def resolve_handler(self, name: str) -> ToolHandler | None: ...
+
+
+class DomainHandlerRegistry:
+    """Resolve a domain first, then one of its child tools."""
+
+    def __init__(
+        self,
+        providers: Iterable[HandlerProvider] = (),
+    ) -> None:
+        providers_by_domain: dict[str, HandlerProvider] = {}
+        self._providers = tuple(providers)
+        for provider in self._providers:
+            if provider.domain_name in providers_by_domain:
+                raise HandlerRegistryError(
+                    f"Duplicate domain handler: {provider.domain_name}"
+                )
+            for name in provider.handler_names:
+                handler = provider.resolve_handler(name)
+                if handler is None:
+                    raise HandlerRegistryError(
+                        f"Domain {provider.domain_name} declares missing handler: {name}"
+                    )
+            providers_by_domain[provider.domain_name] = provider
+        self._providers_by_domain = providers_by_domain
+
+    def resolve_domain(self, domain_name: str) -> HandlerProvider | None:
+        return self._providers_by_domain.get(domain_name)
+
+    def resolve_handler(
+        self,
+        domain_name: str,
+        child_tool: str,
+    ) -> ToolHandler | None:
+        provider = self.resolve_domain(domain_name)
+        return provider.resolve_handler(child_tool) if provider is not None else None
+
+    def has_handler(self, domain_name: str, child_tool: str) -> bool:
+        """Return whether the current runtime can resolve one handler."""
+        return self.resolve_handler(domain_name, child_tool) is not None
+
+
+__all__ = [
+    "ToolHandler",
+    "HandlerRegistryError",
+    "HandlerArgumentsError",
+    "HandlerProvider",
+    "DomainHandlerRegistry"
+]

src/mini_db_mcp/domain/domain_handler_factory.py

@@ -0,0 +1,26 @@
+from mini_db_mcp.domain.domain_handler import DomainHandlerRegistry, HandlerProvider
+from mini_db_mcp.domain.handler.metadata_handler import MetadataHandler
+from mini_db_mcp.domain.runtime.metadata_runtime import MetadataRuntime, MetadataStore
+from mini_db_mcp.domain.handler.query_handler import QueryHandler
+from mini_db_mcp.domain.runtime.query_runtime import QueryRuntime, QueryStore
+
+
+def create_domain_registry(
+    *,
+    metadata_store: MetadataStore,
+    query_store: QueryStore,
+    query_allow_write: bool = False,
+    query_max_rows: int = 1000,
+) -> DomainHandlerRegistry:
+    """Build the domain runtimes, handlers, and registry."""
+    metadata_runtime = MetadataRuntime(metadata_store)
+    query_runtime = QueryRuntime(
+        query_store,
+        allow_write=query_allow_write,
+        max_rows=query_max_rows,
+    )
+    handlers: list[HandlerProvider] = [
+        MetadataHandler(metadata_runtime), 
+        QueryHandler(query_runtime)
+    ]
+    return DomainHandlerRegistry(handlers)

src/mini_db_mcp/domain/domain_manifest.py

@@ -0,0 +1,167 @@
+from typing import Any
+from mcp.types import Tool, ToolAnnotations
+
+from mini_db_mcp.domain.domain_catalog import DomainCatalog
+from mini_db_mcp.domain.domain_model import DomainDefinition, DomainErrorCode
+
+
+DOMAIN_DISCOVERY_DESCRIPTION_SUFFIX = (
+    " Choose one matching domain; do not speculatively open others. Call with "
+    "an empty object to discover its exact child tools and schemas, then call "
+    "it again with the returned child_tool and child_arguments."
+)
+
+
+_DOMAIN_MANIFEST_OUTPUT_SCHEMA: dict[str, Any] = {
+    "type": "object",
+    "properties": {
+        "mode": {"type": "string", "const": "manifest"},
+        "domain": {"type": "string"},
+        "generated_at": {"type": "string", "format": "date-time"},
+        "children": {
+            "type": "array",
+            "items": {"type": "object"},
+        },
+    },
+    "required": [
+        "mode",
+        "domain",
+        "generated_at",
+        "children",
+    ],
+    "additionalProperties": False,
+}
+
+
+_DOMAIN_EXECUTION_OUTPUT_SCHEMA: dict[str, Any] = {
+    "type": "object",
+    "properties": {
+        "mode": {"type": "string", "const": "result"},
+        "domain": {"type": "string"},
+        "child_tool": {"type": "string"},
+        "data": {"type": "object"},
+        "metadata": {
+            "type": "object",
+            "properties": {
+                "request_id": {"type": "string"},
+                "duration_ms": {"type": "number", "minimum": 0},
+                "source": {"type": "string"},
+                "truncated": {"type": "boolean"},
+            },
+            "required": [
+                "request_id",
+                "duration_ms",
+                "source",
+                "truncated",
+            ],
+            "additionalProperties": False,
+        },
+        "warnings": {
+            "type": "array",
+            "items": {"type": "string"},
+        },
+    },
+    "required": [
+        "mode",
+        "domain",
+        "child_tool",
+        "data",
+        "metadata",
+        "warnings",
+    ],
+    "additionalProperties": False,
+}
+
+
+DOMAIN_ERROR_OUTPUT_SCHEMA: dict[str, Any] = {
+    "type": "object",
+    "properties": {
+        "mode": {"type": "string", "const": "error"},
+        "domain": {"type": "string", "minLength": 1},
+        "child_tool": {"type": "string", "minLength": 1},
+        "error": {
+            "type": "object",
+            "properties": {
+                "code": {
+                    "type": "string",
+                    "enum": [code.value for code in DomainErrorCode],
+                },
+                "message": {"type": "string", "minLength": 1},
+                "retryable": {"type": "boolean"},
+                "details": {
+                    "type": "object",
+                    "additionalProperties": True,
+                },
+            },
+            "required": ["code", "message", "retryable", "details"],
+            "additionalProperties": False,
+        },
+    },
+    "required": ["mode", "domain", "child_tool", "error"],
+    "additionalProperties": False,
+}
+
+
+DOMAIN_TOOL_INPUT_SCHEMA: dict[str, Any] = {
+    "type": "object",
+    "properties": {
+        "child_tool": {
+            "type": "string",
+            "minLength": 1,
+            "description": (
+                "Exact child tool name returned by this domain manifest."
+            ),
+        },
+        "child_arguments": {
+            "type": "object",
+            "description": (
+                "Arguments validated against the selected child tool schema."
+            ),
+        },
+    },
+    "additionalProperties": False,
+}
+
+
+DOMAIN_TOOL_OUTPUT_SCHEMA: dict[str, Any] = {
+    "type": "object",
+    "oneOf": [
+        _DOMAIN_MANIFEST_OUTPUT_SCHEMA,
+        _DOMAIN_EXECUTION_OUTPUT_SCHEMA,
+        DOMAIN_ERROR_OUTPUT_SCHEMA,
+    ],
+}
+
+
+class DomainManifest():
+    """Expose top-level domain."""
+
+    def __init__(self, 
+                 *,
+                 catalog: DomainCatalog
+    ) -> None:
+        self._catalog = catalog
+        self._domain_names = frozenset(
+            domain.domain_name for domain in self._catalog.domains
+        )
+        self._domain_tools = tuple(
+            _build_top_level_tool(domain) for domain in self._catalog.domains
+        )
+
+
+    async def list_tools(self) -> list[Tool]:
+        return list(self._domain_tools)
+
+
+def _build_top_level_tool(domain: DomainDefinition) -> Tool:
+    return Tool(
+        name=domain.domain_name,
+        title=domain.domain_title,
+        description=domain.domain_description + DOMAIN_DISCOVERY_DESCRIPTION_SUFFIX,
+        input_schema=DOMAIN_TOOL_INPUT_SCHEMA,
+        output_schema=DOMAIN_TOOL_OUTPUT_SCHEMA,
+        annotations=ToolAnnotations(
+            title=domain.domain_title,
+            read_only_hint=True
+        ),
+    )

src/mini_db_mcp/domain/domain_model.py

@@ -0,0 +1,170 @@
+from enum import StrEnum
+import json
+from typing import Annotated, Any, Literal, Self, cast
+from pydantic import (
+    BaseModel,
+    ConfigDict,
+    JsonValue,
+    StringConstraints,
+    Field,
+    model_validator,
+    field_validator,
+    field_serializer
+)
+
+from mini_db_mcp.utils.json_util import JsonObject, to_json_value
+
+
+MAX_DOMAIN_MANIFEST_BYTES = 16 * 1024
+
+
+Identity = Annotated[
+    str,
+    StringConstraints(
+        min_length=1,
+        max_length=128,
+        pattern=r"^[a-z][a-z0-9_]*$",
+        strip_whitespace=True,
+    ),
+]
+
+NonEmptyText = Annotated[
+    str,
+    StringConstraints(
+        min_length=1,
+        max_length=128,
+        strip_whitespace=True,
+    ),
+]
+
+
+class DomainErrorCode(StrEnum):
+    """Stable errors returned by hierarchical domain tools."""
+
+    DOMAIN_DISCOVERY_DENIED = "DOMAIN_DISCOVERY_DENIED"
+    CHILD_TOOL_NOT_FOUND = "CHILD_TOOL_NOT_FOUND"
+    CHILD_MANIFEST_STALE = "CHILD_MANIFEST_STALE"
+    CHILD_ARGUMENTS_INVALID = "CHILD_ARGUMENTS_INVALID"
+    CHILD_RESULT_INVALID = "CHILD_RESULT_INVALID"
+    CHILD_CAPABILITY_UNAVAILABLE = "CHILD_CAPABILITY_UNAVAILABLE"
+    CHILD_CONFIRMATION_REQUIRED = "CHILD_CONFIRMATION_REQUIRED"
+    CHILD_EXECUTION_TIMEOUT = "CHILD_EXECUTION_TIMEOUT"
+    CHILD_EXECUTION_FAILED = "CHILD_EXECUTION_FAILED"
+
+
+class DomainBaseModel(BaseModel):
+    """Base class with strict shape and canonical wire serialization."""
+
+    model_config = ConfigDict(
+        extra="forbid",
+        frozen=True,
+        str_strip_whitespace=True,
+        validate_default=True,
+    )
+
+    def to_json_object(self) -> JsonObject:
+        """Return a JSON-compatible representation with protocol aliases."""
+
+        return cast(
+            JsonObject,
+            self.model_dump(
+                by_alias=True,
+                mode="json",
+                exclude_none=True,
+            ),
+        )
+
+    def to_canonical_json(self) -> str:
+        """Serialize deterministically for manifests, tests, and hashing."""
+
+        return json.dumps(
+            self.to_json_object(),
+            ensure_ascii=False,
+            separators=(",", ":"),
+            sort_keys=True,
+        )
+
+
+class ChildToolDefinition(DomainBaseModel):
+    """Exact child tool of a domain."""
+
+    tool_name: Identity
+    tool_title: NonEmptyText
+    tool_description: NonEmptyText
+    input_schema: JsonObject
+    output_schema: JsonObject
+
+
+class DomainDefinition(DomainBaseModel):
+    """Top-level domain definition."""
+
+    domain_name: Identity
+    domain_title: NonEmptyText
+    domain_description: NonEmptyText
+    children: Annotated[
+        tuple[ChildToolDefinition, ...],
+        Field(min_length=1, max_length=12),
+    ]
+    max_manifest_bytes: Annotated[
+        int,
+        Field(ge=1, le=MAX_DOMAIN_MANIFEST_BYTES),
+    ] = MAX_DOMAIN_MANIFEST_BYTES
+
+    @model_validator(mode="after")
+    def _validate_domain(self) -> Self:
+        _require_unique(
+            tuple(child.tool_name for child in self.children),
+            "child tool names",
+        )
+        return self
+
+
+class DomainToolRequest(DomainBaseModel):
+    """Common request shape for discovery and exact child execution."""
+
+    child_tool: Identity | None = None
+    child_arguments: JsonObject | None = None
+
+    @field_validator("child_arguments", mode="before")
+    @classmethod
+    def _normalize_arguments_input(cls, value: Any) -> JsonValue:
+        _reject_tuples(value)
+        return to_json_value(value)
+
+    @field_serializer("child_arguments")
+    def _serialize_arguments(self, value: JsonObject | None) -> JsonObject | None:
+        return cast(JsonObject | None, to_json_value(value))
+
+    @model_validator(mode="after")
+    def _validate_request_mode(self) -> Self:
+        if self.child_tool is None and self.child_arguments is not None:
+            raise ValueError("Arguments require child_tool")
+        return self
+
+    @property
+    def is_discovery(self) -> bool:
+        return self.child_tool is None
+
+    @property
+    def execution_arguments(self) -> JsonObject:
+        return cast(
+            JsonObject,
+            to_json_value(self.child_arguments or {}),
+        )
+
+
+def _require_unique(values: tuple[str, ...], field_name: str) -> None:
+    if len(values) != len(set(values)):
+        raise ValueError(f"{field_name} must not contain duplicates")
+
+
+def _reject_tuples(value: Any) -> None:
+    if isinstance(value, tuple):
+        raise ValueError("JSON arrays must be provided as lists")
+    if isinstance(value, dict):
+        for item in value.values():
+            _reject_tuples(item)
+    elif isinstance(value, list):
+        for item in value:
+            _reject_tuples(item)
+

src/mini_db_mcp/domain/handler/metadata_handler.py

@@ -0,0 +1,27 @@
+from typing import Mapping
+from types import MappingProxyType
+
+from mini_db_mcp.domain.domain_handler import ToolHandler
+from mini_db_mcp.domain.runtime.metadata_runtime import MetadataRuntime
+
+
+class MetadataHandler:
+    
+    domain_name = "metadata"
+
+
+    def __init__(self, runtime: MetadataRuntime) -> None:
+        _handlers = {
+            "list_tables": runtime.list_tables,
+            "describe_table": runtime.describe_table,
+            "sample_values": runtime.sample_values,
+        }
+        self._handlers: Mapping[str, ToolHandler] = MappingProxyType(_handlers)
+
+
+    @property
+    def handler_names(self) -> frozenset[str]:
+        return frozenset(self._handlers)
+
+    def resolve_handler(self, name: str) -> ToolHandler | None:
+        return self._handlers.get(name)

src/mini_db_mcp/domain/handler/query_handler.py

@@ -0,0 +1,21 @@
+from types import MappingProxyType
+from typing import Mapping
+
+from mini_db_mcp.domain.domain_handler import ToolHandler
+from mini_db_mcp.domain.runtime.query_runtime import QueryRuntime
+
+
+class QueryHandler:
+    domain_name = "query"
+
+    def __init__(self, runtime: QueryRuntime) -> None:
+        self._handlers: Mapping[str, ToolHandler] = MappingProxyType(
+            {"execute_query": runtime.execute_query}
+        )
+
+    @property
+    def handler_names(self) -> frozenset[str]:
+        return frozenset(self._handlers)
+
+    def resolve_handler(self, name: str) -> ToolHandler | None:
+        return self._handlers.get(name)

src/mini_db_mcp/domain/runtime/metadata_runtime.py

@@ -0,0 +1,110 @@
+from typing import Any, Protocol
+
+
+class MetadataStore(Protocol):
+    """Database capabilities required by the metadata runtime."""
+
+    async def list_tables(
+        self,
+        *,
+        keyword: str | None,
+        limit: int,
+        cursor: str | None) -> tuple[list[dict[str, Any]], str | None]: ...
+
+    async def describe_table(
+        self, 
+        *,
+        schema: str | None = None,
+        table_name: str,
+        limit: int,
+        cursor: str | None,
+    ) -> dict[str, Any]: ...
+
+    async def sample_values(
+        self,
+        *,
+        table_name: str,
+        schema: str | None,
+        column: str,
+        limit: int,
+    ) -> tuple[list[Any], bool]: ...
+
+
+class MetadataRuntime:
+    """Runtime for metadata domain."""
+
+    def __init__(self, store: MetadataStore) -> None:
+        self._store = store
+
+    async def list_tables(self, arguments: dict[str, Any]) -> dict[str, Any]:
+        keyword = arguments.get("keyword")
+        if keyword is not None and not isinstance(keyword, str):
+            raise ValueError("keyword must be a string or null")
+
+        cursor = arguments.get("cursor")
+        if cursor is not None and not isinstance(cursor, str):
+            raise ValueError("cursor must be a string or null")
+
+        limit = arguments.get("limit", 100)
+        if not isinstance(limit, int) or isinstance(limit, bool) or limit < 1:
+            raise ValueError("limit must be a positive integer")
+
+        items, next_cursor = await self._store.list_tables(
+            keyword=keyword,
+            limit=limit,
+            cursor=cursor,
+        )
+        return {
+            "items": items,
+            "next_cursor": next_cursor,
+            "truncated": next_cursor is not None,
+        }
+
+    async def describe_table(self, arguments: dict[str, Any]) -> dict[str, Any]:
+        table_name = arguments.get("table_name")
+        if not isinstance(table_name, str) or not table_name:
+            raise ValueError("table_name must be a non-empty string")
+
+        schema = arguments.get("schema")
+        if schema is not None and not isinstance(schema, str):
+            raise ValueError("schema must be a string or null")
+
+        cursor = arguments.get("cursor")
+        if cursor is not None and not isinstance(cursor, str):
+            raise ValueError("cursor must be a string or null")
+
+        limit = arguments.get("limit", 200)
+        if not isinstance(limit, int) or isinstance(limit, bool) or not 1 <= limit <= 200:
+            raise ValueError("limit must be a positive integer between 1 and 200")
+
+        return await self._store.describe_table(
+            table_name=table_name,
+            schema=schema,
+            limit=limit,
+            cursor=cursor,
+        )
+
+    async def sample_values(self, arguments: dict[str, Any]) -> dict[str, Any]:
+        table_name = arguments.get("table_name")
+        if not isinstance(table_name, str) or not table_name:
+            raise ValueError("table_name must be a non-empty string")
+
+        column = arguments.get("column")
+        if not isinstance(column, str) or not column:
+            raise ValueError("column must be a non-empty string")
+
+        schema = arguments.get("schema")
+        if schema is not None and not isinstance(schema, str):
+            raise ValueError("schema must be a string or null")
+
+        limit = arguments.get("limit", 20)
+        if (not isinstance(limit, int) or isinstance(limit, bool) or not 1 <= limit <= 50):
+            raise ValueError("limit must be an integer between 1 and 50")
+
+        values, truncated = await self._store.sample_values(
+            table_name=table_name,
+            schema=schema,
+            column=column,
+            limit=limit,
+        )
+        return {"values": values, "truncated": truncated}

src/mini_db_mcp/domain/runtime/query_runtime.py

@@ -0,0 +1,41 @@
+from typing import Any, Protocol
+
+from mini_db_mcp.security import SecurityError, SqlGuard, extract_tables
+
+
+class QueryStore(Protocol):
+    """Query execution capability required by the query runtime."""
+
+    async def execute_guarded(self, sql: str) -> dict[str, Any]: ...
+
+
+class QueryRuntime:
+    """Runtime for query domain."""
+
+    def __init__(
+        self,
+        store: QueryStore,
+        *,
+        allow_write: bool = False,
+        max_rows: int = 1000,
+    ) -> None:
+        self._store = store
+        self._sql_guard = SqlGuard(allow_write=allow_write, max_rows=max_rows)
+
+    async def execute_query(self, arguments: dict[str, Any]) -> dict[str, Any]:
+        sql = arguments.get("sql")
+        if not isinstance(sql, str) or not sql.strip():
+            raise ValueError("sql must be a non-empty string")
+
+        try:
+            guarded_sql = self._sql_guard.validate(sql)
+        except SecurityError as exc:
+            raise ValueError(str(exc)) from exc
+
+        result = await self._store.execute_guarded(guarded_sql)
+        return {
+            **result,
+            "executed_sql": guarded_sql,
+            "referenced_objects": sorted(extract_tables(guarded_sql)),
+        }
+

src/mini_db_mcp/main.py

@@ -0,0 +1,34 @@
+import logging
+import sys
+import asyncio  
+
+from mini_db_mcp.config import Config
+from mini_db_mcp.server import MiniServer
+from mini_db_mcp import __version__
+
+logger = logging.getLogger(__name__)
+ 
+
+def _setup_logging(level: str) -> None:
+    logging.basicConfig(
+        level=getattr(logging, level, logging.INFO),
+        format="%(asctime)s %(name)s %(levelname)s %(message)s",
+        stream=sys.stderr,
+    )
+
+
+def main() -> None:
+    config = Config()
+    server = MiniServer(config)
+    _setup_logging(config.server.log_level)
+    transport = config.server.transport
+    if transport == "stdio":
+        asyncio.run(server.start_stdio())
+    elif transport == "http":
+        asyncio.run(server.start_http())
+    else:
+        logger.error("Unsupported transport: %s", transport)
+
+
+if __name__ == "__main__":
+    main()

src/mini_db_mcp/prompts.py

@@ -0,0 +1,150 @@
+from __future__ import annotations
+from datetime import datetime
+from typing import Any
+
+from mcp.types import (
+    GetPromptResult,
+    Prompt,
+    PromptArgument,
+    PromptMessage, 
+    TextContent,
+)
+
+class PromptTemplate:
+    """Prompt template"""
+
+    def __init__(
+        self,
+        name: str,
+        description: str,
+        template: str,
+        arguments: list[PromptArgument] | None = None,
+        category: str = "general",
+    ):
+        self.name = name
+        self.description = description
+        self.template = template
+        self.arguments = arguments or []
+        self.category = category
+        self.created_at = datetime.now()
+
+    def render(self, arguments: dict[str, Any]) -> str:
+        """Render template content"""
+        content = self.template
+        for key, value in arguments.items():
+            placeholder = f"{{{key}}}"
+            content = content.replace(placeholder, str(value))
+        return content
+
+
+class UnknownPromptError(ValueError):
+    error_code = "UNKNOWN_PROMPT"
+
+
+class MissingPromptArgumentError(ValueError):
+    error_code = "MISSING_REQUIRED_ARGUMENT"
+
+class PromptsManager:
+    """Manager for handling prompt templates.
+    Init the default prompt templates and provide methods to list and get prompts.
+    """
+
+    def __init__(self):
+        self.templates = self._init_templates()
+
+    def _init_templates(self) -> dict[str, PromptTemplate]:
+        templates = {}
+        templates["performance_optimization"] = PromptTemplate(
+            name="performance_optimization",
+            description="Database performance optimization analysis template for identifying performance bottlenecks and optimization opportunities",
+            template="""Please help me with database performance analysis and optimization recommendations:
+
+Focus area: {focus_area}
+{table_scope}
+Performance metrics: {metrics}
+
+Please generate SQL queries to analyze the following content:
+1. Table and query performance statistics
+2. Index usage efficiency analysis
+3. Slow query identification and analysis
+4. Storage space usage
+
+Analysis objectives:
+- Identify performance bottlenecks
+- Provide optimization recommendations
+- Evaluate optimization effects
+
+Please provide specific optimization recommendations and implementation steps.""",
+            arguments=[
+                PromptArgument(
+                    name="focus_area",
+                    description="Performance area of focus, such as 'query performance', 'storage optimization'",
+                    required=True,
+                ),
+                PromptArgument(
+                    name="table_name",
+                    description="Specific table name (optional), if analyzing specific table performance",
+                    required=False,
+                ),
+                PromptArgument(
+                    name="metrics",
+                    description="Performance metrics of interest, such as 'response time', 'throughput'",
+                    required=False,
+                ),
+            ],
+            category="performance",
+        )
+        return templates
+
+    async def list_prompts(self) -> list[Prompt]:
+        """List all available prompt templates"""
+        prompts = []
+
+        for template in self.templates.values():
+            prompt = Prompt(
+                name=template.name,
+                description=template.description,
+                arguments=template.arguments,
+            )
+            prompts.append(prompt)
+
+        return prompts
+
+    async def get_prompt(self, name: str, arguments: dict[str, Any]) -> GetPromptResult:
+        """Get content of specific prompt template"""
+        if name not in self.templates:
+            raise UnknownPromptError(f"Prompt template named '{name}' not found")
+
+        template = self.templates[name]
+
+        # Build arguments
+        processed_args = await self._process_arguments(template, arguments)
+
+        # Render template content
+        rendered_content = template.render(processed_args)
+
+        full_content = f"""{rendered_content}
+
+Please generate accurate and efficient SQL queries based on the above requirements and database structure."""
+
+        return GetPromptResult(
+            description=template.description,
+            messages=[
+                PromptMessage(
+                    role="user", content=TextContent(type="text", text=full_content)
+                )
+            ],
+        )
+
+    
+    async def _process_arguments(self, template: PromptTemplate, arguments: dict[str, Any]) -> dict[str, Any]:
+        """Process template arguments"""
+        processed_arguments = {}
+
+        for arg in template.arguments:
+            if arg.name in arguments:
+                processed_arguments[arg.name] = arguments[arg.name]
+            elif arg.required:
+                raise MissingPromptArgumentError(arg.name)
+
+        return processed_arguments

src/mini_db_mcp/security.py

@@ -0,0 +1,159 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from functools import lru_cache
+
+import sqlglot
+from sqlglot import exp
+from sqlglot.errors import ParseError, TokenError
+
+
+class SecurityError(Exception):
+    """Base class for all query rejections."""
+
+
+class SqlValidationError(SecurityError):
+    pass
+
+
+class PermissionDeniedError(SecurityError):
+    pass
+
+
+MAX_SQL_LENGTH = 200_000
+# Doris first, MySQL as a fallback for constructs the Doris dialect misses.
+PARSE_DIALECTS = ("doris", "mysql")
+
+# exp.Query covers SELECT, set operations and subqueries.
+_READ_ONLY_NODES = (exp.Query, exp.Show, exp.Describe, exp.Use)
+_WRITE_NODES = (
+    exp.Insert,
+    exp.Update,
+    exp.Delete,
+    exp.Drop,
+    exp.Create,
+    exp.Alter,
+    exp.TruncateTable,
+)
+# Rejected regardless of allow_write: they read files, block workers or leak timing.
+_FORBIDDEN_FUNCTIONS = frozenset({"load_file", "sleep", "benchmark", "outfile"})
+
+
+@lru_cache(maxsize=256)
+def parse_statement(sql: str) -> exp.Expression:
+    """Parse a single statement, rejecting anything the dialects cannot model.
+
+    The returned tree is shared through the cache and must never be mutated.
+    """
+    if not sql or not sql.strip():
+        raise SqlValidationError("Empty SQL statement.")
+    if len(sql) > MAX_SQL_LENGTH:
+        raise SqlValidationError(f"Statement exceeds {MAX_SQL_LENGTH} characters.")
+    if "\x00" in sql:
+        raise SqlValidationError("Statement contains a NUL byte.")
+
+    last_error: Exception | None = None
+    for dialect in PARSE_DIALECTS:
+        try:
+            trees = sqlglot.parse(sql, dialect=dialect)
+        except (ParseError, TokenError, RecursionError) as exc:
+            last_error = exc
+            continue
+
+        statements = [tree for tree in trees if tree is not None]
+        if not statements:
+            raise SqlValidationError("Empty SQL statement.")
+        if len(statements) > 1:
+            raise SqlValidationError("Multiple statements per request are not allowed.")
+
+        root = statements[0]
+        # sqlglot degrades DCL/ADMIN and other unmodelled syntax to Command.
+        if isinstance(root, exp.Command) or root.find(exp.Command) is not None:
+            raise SqlValidationError("Administrative or unsupported statement.")
+        return root
+
+    raise SqlValidationError(f"Statement could not be parsed: {last_error}")
+
+
+def table_names(root: exp.Expression) -> set[str]:
+    """Physical tables referenced by the tree, with CTE aliases removed."""
+    ctes = {cte.alias_or_name.lower() for cte in root.find_all(exp.CTE)}
+    names: set[str] = set()
+    for table in root.find_all(exp.Table):
+        name = table.name.lower()
+        if not name:
+            continue
+        parts = [part.lower() for part in (table.catalog, table.db) if part]
+        if not parts and name in ctes:
+            continue
+        names.add(".".join([*parts, name]))
+    return names
+
+
+def extract_tables(sql: str) -> set[str]:
+    return table_names(parse_statement(sql))
+
+
+def returns_rows(sql: str) -> bool:
+    return isinstance(parse_statement(sql), _READ_ONLY_NODES)
+
+
+@dataclass(frozen=True)
+class SqlGuard:
+    """Statement level validation"""
+
+    allow_write: bool = False
+    max_rows: int = 1000
+
+    def validate(self, sql: str) -> str:
+        statement = sql.strip()
+        if statement.endswith(";"):
+            statement = statement[:-1].strip()
+        root = parse_statement(statement)
+        self._reject_dangerous(root)
+
+        if isinstance(root, _WRITE_NODES):
+            if not self.allow_write:
+                raise PermissionDeniedError(
+                    f"{type(root).__name__.upper()} is rejected in read-only mode."
+                )
+            return statement
+        if isinstance(root, _READ_ONLY_NODES):
+            return self._apply_row_limit(statement, root)
+        raise SqlValidationError(f"Unsupported statement type: {type(root).__name__}.")
+
+    def _reject_dangerous(self, root: exp.Expression) -> None:
+        if root.find(exp.Into) is not None:
+            raise SqlValidationError("SELECT ... INTO is not allowed.")
+        for func in root.find_all(exp.Anonymous):
+            if func.name.lower() in _FORBIDDEN_FUNCTIONS:
+                raise SqlValidationError(f"Function '{func.name}' is not allowed.")
+
+    def _apply_row_limit(self, statement: str, root: exp.Expression) -> str:
+        """Append a limit to the original text; the AST is only used to decide."""
+        if not isinstance(root, exp.Query) or root.args.get("limit") is not None:
+            return statement
+        return f"{statement} LIMIT {self.max_rows}"
+
+
+@dataclass(frozen=True)
+class PermissionPolicy:
+    """Per-principal access rules, resolved before the statement runs."""
+
+    allowed_databases: frozenset[str] = frozenset()
+    denied_tables: frozenset[str] = frozenset()
+    allow_write: bool = False
+
+    def check(self, sql: str, default_database: str | None) -> None:
+        root = parse_statement(sql.strip().rstrip(";").strip())
+        if isinstance(root, _WRITE_NODES) and not self.allow_write:
+            raise PermissionDeniedError("Principal is not allowed to write.")
+
+        for table in table_names(root):
+            database, _, name = table.rpartition(".")
+            database = database or (default_database or "").lower()
+            if self.allowed_databases and database not in self.allowed_databases:
+                raise PermissionDeniedError(f"Database '{database}' is not accessible.")
+            qualified = f"{database}.{name}" if database else name
+            if name in self.denied_tables or qualified in self.denied_tables:
+                raise PermissionDeniedError(f"Table '{qualified}' is not accessible.")

src/mini_db_mcp/server.py

@@ -0,0 +1,164 @@
+from . import __version__
+
+import json
+import logging
+from typing import Any, Protocol
+from mcp.server import Server
+from mcp.types import (
+    CallToolResult,
+    GetPromptResult,
+    ListPromptsResult,
+    ListToolsResult,
+    PaginatedRequestParams,
+    TextContent,
+    Resource,
+    Tool,
+    Prompt
+)
+
+from mini_db_mcp.config import Config
+from mini_db_mcp.db import Database
+from mini_db_mcp.domain.domain_catalog import DOMAIN_CATALOG
+from mini_db_mcp.domain.domain_handler_factory import create_domain_registry
+from mini_db_mcp.utils.pagination_util import paginate_list
+from mini_db_mcp.prompts import PromptsManager
+from mini_db_mcp.tools import ToolsManager
+
+
+NAME = "mini-db-mcp"
+
+
+logger = logging.getLogger(__name__)
+
+
+class ResourcesProtocol(Protocol):
+    async def list_resources(self) -> list[Resource]: ...
+
+    async def read_resource(self, uri: str) -> str: ...
+
+
+class ToolsProtocol(Protocol):
+    async def list_tools(self) -> list[Tool]: ...
+
+    async def call_tool(self, name: str, arguments: dict[str, Any]) -> dict[str, Any]: ...
+
+
+class PromptsProtocol(Protocol):
+    async def list_prompts(self) -> list[Prompt]: ...
+
+    async def get_prompt(
+        self, name: str, arguments: dict[str, Any]
+    ) -> GetPromptResult: ...
+
+
+class MiniServer():
+
+    def __init__(self, config: Config) -> None:
+        self.config = config
+        self.prompts_manager = PromptsManager()
+        self.database = Database(config)
+        self.handler_registry = create_domain_registry(
+            metadata_store=self.database,
+            query_store=self.database,
+            query_allow_write=config.query.allow_write,
+            query_max_rows=config.query.max_rows,
+        )
+        self.tools_manager = ToolsManager(
+            catalog=DOMAIN_CATALOG,
+            registry=self.handler_registry,
+        )
+        self.server = _create_mcp_server(
+            prompts_manager=self.prompts_manager,
+            tools_manager=self.tools_manager,
+        )
+
+    async def start_stdio(self) -> None:
+        from mcp.server.stdio import stdio_server
+
+        try:
+            async with stdio_server() as streams:
+                read_stream, write_stream = streams
+                await self.server.run(
+                    read_stream,
+                    write_stream,
+                    self.server.create_initialization_options(),
+                )
+        finally:
+            await self.database.close()
+
+    async def start_http(self) -> None:
+        """Serve MCP over stateless Streamable HTTP at ``/mcp``."""
+        import uvicorn
+
+        app = self.server.streamable_http_app(
+            streamable_http_path="/mcp",
+            json_response=True,
+            stateless_http=True,
+            host=self.config.server.host,
+        )
+        server = uvicorn.Server(
+            uvicorn.Config(
+                app,
+                host=self.config.server.host,
+                port=self.config.server.port,
+                log_level=self.config.server.log_level.lower(),
+            )
+        )
+        try:
+            await server.serve()
+        finally:
+            await self.database.close()
+
+
+def _create_mcp_server(
+        *,
+        prompts_manager: PromptsProtocol | None = None,
+        tools_manager: ToolsProtocol | None = None,
+) -> Server:
+    
+    async def on_list_prompts(ctx, params):
+        return ListPromptsResult(prompts=await prompts_manager.list_prompts())
+
+    async def on_get_prompt(ctx, params):
+        return await prompts_manager.get_prompt(params.name, dict(params.arguments or {}))
+
+    async def list_tools(
+        ctx,
+        params: PaginatedRequestParams | None,
+    ) -> ListToolsResult:
+        tools = await tools_manager.list_tools()
+        page_items, next_cursor = paginate_list(
+            tools,
+            cursor=params.cursor if params else None,
+            page_size=10,
+            identifier=lambda tool: tool.name,
+        )
+        logger.info("Returning %d of %d tools", len(page_items), len(tools))
+        return ListToolsResult(
+            tools=page_items,
+            next_cursor=next_cursor,
+        )
+
+    async def call_tool(ctx, params):
+        # ToolsManager returns either a manifest (discovery) or a child result.
+        result = await tools_manager.call_tool(
+            params.name,
+            dict(params.arguments or {}),
+        )
+        # Publish the same payload as structured data and backward-compatible text.
+        return CallToolResult(
+            content=[TextContent(type="text", text=json.dumps(result, ensure_ascii=False))],
+            structuredContent=result,
+            isError=result.get("mode") == "error",
+        )
+
+    server = Server(
+        name=NAME,
+        version=__version__,
+        on_list_prompts=on_list_prompts,
+        on_get_prompt=on_get_prompt,
+        on_list_tools=list_tools,
+        on_call_tool=call_tool,
+    )
+    return server
+

src/mini_db_mcp/tools.py

@@ -0,0 +1,191 @@
+import time
+import uuid
+from datetime import datetime, timezone
+from typing import Any
+
+from mcp.types import Tool
+from mini_db_mcp.domain.domain_manifest import DomainManifest
+from mini_db_mcp.domain.domain_catalog import DomainCatalog
+from mini_db_mcp.domain.domain_handler import DomainHandlerRegistry
+from mini_db_mcp.domain.domain_model import DomainErrorCode, DomainToolRequest
+
+
+class ToolsManager:
+    """Expose domain tools through a two-call discovery and execution flow.
+
+    The first call uses empty arguments to return the selected domain's child
+    manifest. The second call supplies ``child_tool`` and ``child_arguments``
+    to execute exactly one child through the domain registry.
+    """
+
+    def __init__(
+        self,
+        *,
+        catalog: DomainCatalog,
+        registry: DomainHandlerRegistry,
+    ) -> None:
+        self._catalog = catalog
+        self._domains = {domain.domain_name: domain for domain in catalog.domains}
+        self._domain_manifest_service = DomainManifest(catalog=catalog)
+        self._registry = registry
+
+    async def list_tools(self) -> list[Tool]:
+        return await self._domain_manifest_service.list_tools()
+
+    async def call_tool(self, name: str, arguments: dict[str, Any]) -> dict[str, Any]:
+        domain = self._domains.get(name)
+        if domain is None:
+            raise ValueError(f"Unknown domain tool: {name}")
+
+        raw_child_tool = arguments.get("child_tool") if isinstance(arguments, dict) else None
+        error_child_tool = raw_child_tool if isinstance(raw_child_tool, str) and raw_child_tool else "request"
+        try:
+            request = DomainToolRequest(**arguments)
+        except (TypeError, ValueError) as exc:
+            return self._error_result(
+                name,
+                error_child_tool,
+                DomainErrorCode.CHILD_ARGUMENTS_INVALID,
+                str(exc),
+            )
+        # First call: expose only this domain's child schemas to the model.
+        if request.is_discovery:
+            return {
+                "mode": "manifest",
+                "domain": name,
+                "generated_at": datetime.now(timezone.utc).isoformat(),
+                "children": [child.to_json_object() for child in domain.children],
+            }
+
+        child_tool = request.child_tool
+        assert child_tool is not None
+        child = next(
+            (candidate for candidate in domain.children if candidate.tool_name == child_tool),
+            None,
+        )
+        if child is not None:
+            validation_error = _validate_arguments(
+                request.execution_arguments,
+                child.input_schema,
+            )
+            if validation_error is not None:
+                return self._error_result(
+                    name,
+                    child_tool,
+                    DomainErrorCode.CHILD_ARGUMENTS_INVALID,
+                    validation_error,
+                )
+        # Second call: route the selected child to its owning domain handler.
+        handler = self._registry.resolve_handler(name, child_tool)
+        if handler is None:
+            return self._error_result(
+                name,
+                child_tool,
+                DomainErrorCode.CHILD_TOOL_NOT_FOUND,
+                f"Unknown child tool {child_tool!r} for domain {name!r}.",
+            )
+
+        started_at = time.perf_counter()
+        try:
+            data = await handler(dict(request.execution_arguments))
+        except ValueError as exc:
+            return self._error_result(
+                name,
+                child_tool,
+                DomainErrorCode.CHILD_ARGUMENTS_INVALID,
+                str(exc),
+            )
+        except Exception as exc:
+            error_code = (
+                DomainErrorCode.CHILD_EXECUTION_TIMEOUT
+                if getattr(exc, "code", None) == "query_timeout"
+                else DomainErrorCode.CHILD_EXECUTION_FAILED
+            )
+            return self._error_result(
+                name,
+                child_tool,
+                error_code,
+                str(exc),
+                retryable=getattr(exc, "retryable", True),
+            )
+
+        return {
+            "mode": "result",
+            "domain": name,
+            "child_tool": child_tool,
+            "data": data,
+            "metadata": {
+                "request_id": uuid.uuid4().hex,
+                "duration_ms": (time.perf_counter() - started_at) * 1000,
+                "source": "database",
+                "truncated": bool(data.get("truncated", False)),
+            },
+            "warnings": [],
+        }
+
+    @staticmethod
+    def _error_result(
+        domain: str,
+        child_tool: str,
+        code: DomainErrorCode,
+        message: str,
+        *,
+        retryable: bool = False,
+    ) -> dict[str, Any]:
+        return {
+            "mode": "error",
+            "domain": domain,
+            "child_tool": child_tool,
+            "error": {
+                "code": code.value,
+                "message": message,
+                "retryable": retryable,
+                "details": {},
+            },
+        }
+
+
+def _validate_arguments(arguments: dict[str, Any], schema: dict[str, Any]) -> str | None:
+    properties = schema.get("properties", {})
+    missing = [name for name in schema.get("required", []) if name not in arguments]
+    if missing:
+        return f"Missing required argument(s): {', '.join(missing)}"
+
+    if schema.get("additionalProperties") is False:
+        unknown = sorted(set(arguments) - set(properties))
+        if unknown:
+            return f"Unknown argument(s): {', '.join(unknown)}"
+
+    for name, value in arguments.items():
+        property_schema = properties.get(name)
+        if property_schema is None:
+            continue
+        expected = property_schema.get("type")
+        expected_types = expected if isinstance(expected, list) else [expected]
+        if not _matches_json_type(value, expected_types):
+            return f"Argument {name!r} must have type {expected}."
+        if isinstance(value, int) and not isinstance(value, bool):
+            minimum = property_schema.get("minimum")
+            maximum = property_schema.get("maximum")
+            if minimum is not None and value < minimum:
+                return f"Argument {name!r} must be at least {minimum}."
+            if maximum is not None and value > maximum:
+                return f"Argument {name!r} must be at most {maximum}."
+    return None
+
+
+def _matches_json_type(value: Any, expected_types: list[Any]) -> bool:
+    for expected in expected_types:
+        if expected == "null" and value is None:
+            return True
+        if expected == "string" and isinstance(value, str):
+            return True
+        if expected == "integer" and isinstance(value, int) and not isinstance(value, bool):
+            return True
+        if expected == "boolean" and isinstance(value, bool):
+            return True
+        if expected == "object" and isinstance(value, dict):
+            return True
+        if expected == "array" and isinstance(value, list):
+            return True
+    return False

src/mini_db_mcp/utils/json_util.py

@@ -0,0 +1,31 @@
+from collections.abc import Mapping
+from math import isfinite
+
+from pydantic import JsonValue
+
+
+type JsonObject = dict[str, JsonValue]
+
+
+def to_json_value(value: object) -> JsonValue:
+
+    if value is None or isinstance(value, str | bool | int):
+        return value
+    if isinstance(value, float):
+        if not isfinite(value):
+            raise ValueError("JSON numbers must be finite")
+        return value
+    if isinstance(value, Mapping):
+        result: JsonObject = {}
+        for key, item in value.items():
+            if not isinstance(key, str):
+                raise TypeError(
+                    f"JSON object keys must be strings, got {type(key).__name__}"
+                )
+            result[key] = to_json_value(item)
+        return result
+    if isinstance(value, list | tuple):
+        return [to_json_value(item) for item in value]
+    raise TypeError(
+        f"{type(value).__name__} cannot be converted to a JSON value"
+    )

src/mini_db_mcp/utils/pagination_util.py

@@ -0,0 +1,38 @@
+from collections.abc import Callable, Sequence
+from typing import TypeVar
+
+
+T = TypeVar("T")
+MAX_PAGE_SIZE = 100
+
+
+def paginate_list(
+    items: Sequence[T],
+    *,
+    cursor: str | None,
+    page_size: int = MAX_PAGE_SIZE,
+    identifier: Callable[[T], str],
+) -> tuple[list[T], str | None]:
+    """Return a deterministic page using the prior item's identifier as cursor."""
+
+    if not 1 <= page_size <= MAX_PAGE_SIZE:
+        raise ValueError(f"page_size must be in the range 1-{MAX_PAGE_SIZE}")
+
+    ordered = sorted(items, key=identifier)
+    identifiers = [identifier(item) for item in ordered]
+    if len(identifiers) != len(set(identifiers)):
+        raise ValueError("list contains duplicate identifiers")
+
+    start = 0
+    if cursor is not None:
+        try:
+            start = identifiers.index(cursor) + 1
+        except ValueError as exc:
+            raise ValueError("invalid pagination cursor") from exc
+        if start >= len(ordered):
+            raise ValueError("invalid pagination cursor")
+
+    page_items = ordered[start : start + page_size]
+    end = start + len(page_items)
+    next_cursor = identifiers[end - 1] if end < len(ordered) else None
+    return page_items, next_cursor

uv.lock

@@ -0,0 +1,910 @@
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+revision = 3
+requires-python = ">=3.12"
+resolution-markers = [
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+    "python_full_version < '3.14'",
+]
+
+[[package]]
+name = "aiomysql"
+version = "0.3.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pymysql" },
+]
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+version = "0.8.0"
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