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Db2 MCP Server

@huangjien

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

huangjien

Db2 MCP Server について

MCP server for DB2

Db2 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": {
    "db2-mcp-server": {
      "command": "uv",
      "args": [
        "v0.6.x"
      ]
    }
  }
}

Db2 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 db2-mcp-server?

db2-mcp-server is a Python-based server that uses the Model Context Protocol (MCP) to interact with IBM DB2 databases. It provides tools for listing tables and retrieving table metadata, and is intended for read-only database exploration.

How to use db2-mcp-server?

Clone the repository, set up a virtual environment with uv, install dependencies with pip install -r requirements.txt, then run the server with python src/db2_mcp_server/core.py. Tests can be executed using pytest --strict-markers --cov.

Key features of db2-mcp-server

  • List tables from the connected DB2 database.
  • Retrieve metadata for a specific table (column details, data types).
  • Read-only access – prohibits INSERT, UPDATE, DELETE operations.
  • Structured JSON logging (sensitive data excluded).
  • Requires Python 3.12, FastMCP, ibm_db, and Pydantic.

Use cases of db2-mcp-server

—

よくある質問

1

What databases does db2-mcp-server support?

It supports IBM DB2 databases.

2

Is the server read-only?

Yes, the server is read-only. It uses a database user with only SELECT privileges and prohibits SQL INSERT, UPDATE, or DELETE operations.

3

What are the software requirements?

Python 3.12, the FastMCP framework (latest stable version), the IBM DB2 Python driver (`ibm_db`), and Pydantic.

4

How do I run tests?

Use `pytest` (version ≥ 7.0.0) with the flags `--strict-markers --cov` to run tests and check code coverage (expected ≥ 90%).

5

What operations does db2-mcp-server provide?

It provides two tools: listing all tables from the connected database and retrieving metadata (column details and data types) for a specific table.

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