Database MCP Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

データベース

トランスポート

stdio

作者

MCP-Mirror

Database MCP Server について

Mirror of

#database #mcp-server #data-management

Database MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "georgi-terziyski_database_mcp_server": {
      "command": "python",
      "args": [
        "-m",
        "db_mcp_server"
      ]
    }
  }
}

Database MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Database MCP Server?

A Model Context Protocol (MCP) server that provides tools for connecting to and interacting with various database systems, including SQLite, PostgreSQL, MySQL/MariaDB, and SQL Server, through a unified interface.

How to use Database MCP Server?

Install from source with pip install -e ., configure via environment variables or a JSON config file, then run python -m db_mcp_server (MCP mode) or python -m db_mcp_server.web_server (standalone web server). Use the provided MCP tools for connection management, query execution, schema management, and transaction control.

Key features of Database MCP Server

Multi-database support: SQLite, PostgreSQL, MySQL/MariaDB, SQL Server
Unified interface for common database operations
Schema management: create, alter, drop tables and indexes
Query execution: raw SQL or structured query tools
Transaction support: begin, commit, rollback
Standalone web server mode for use with any LLM

Use cases of Database MCP Server

Allow an LLM (e.g. Claude) to query and manipulate a database via MCP
Provide a REST API for other LLMs (e.g. Llama 3) to perform database operations
Manage database schemas and run migrations through natural language prompts

よくある質問

What databases does it support?

It supports SQLite (included in Python), PostgreSQL (via psycopg2-binary), MySQL/MariaDB (via mysql-connector-python), and SQL Server (via pyodbc).

How do I configure database connections?

You can set environment variables (`DB_CONFIG_PATH` for a JSON file or `DB_CONNECTIONS` for inline JSON), or provide connection details at runtime using the `add_connection` tool.

Can I use this server with LLMs other than Claude?

Yes. Run as a standalone web server (`python -m db_mcp_server.web_server`) and any LLM can call the `/list_tools` and `/call_tool` HTTP endpoints.

What are the runtime requirements?

Python 3.8 or higher, SQLAlchemy, and optional database-specific drivers. No external runtime dependencies beyond the Python ecosystem.

How do I run the server?

Use `python -m db_mcp_server` for MCP mode (default), or `python -m db_mcp_server.web_server` for web mode. You can specify a config file with `--config` and set logging level with `--log-level`.

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