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Medullar MCP Server

@medullar

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

medullar

Medullar MCP Server について

Medullar MCP Server

Medullar 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": {
    "medullar-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

Medullar 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 Medullar MCP Server?

Medullar MCP Server is an MCP protocol server that retrieves a user’s Medullar Space data. It is built for developers and users who need to access their curated Medullar spaces through an MCP‑compatible client (e.g., Claude Desktop).

How to use Medullar MCP Server?

Install Python 3.10+, the uv package manager, and dependencies. Create a .env file with your MEDULLAR_JWT token. Run in development mode with mcp dev server.py or install in Claude Desktop with mcp install server.py. For custom deployments, use python server.py or mcp run server.py.

Key features of Medullar MCP Server

  • Retrieves the user’s Medullar spaces via MCP protocol.
  • Requires a Medullar JWT for authentication.
  • Returns space name, UUID, and context.
  • Supports .env file, shell variables, or mcp install -v.
  • Built with Python 3.10+ and the uv package manager.

Use cases of Medullar MCP Server

  • Query your curated Medullar spaces from an MCP‑capable UI.
  • Integrate space data into AI assistants like Claude Desktop.
  • Automate retrieval of space metadata for custom workflows.

よくある質問

1

What prerequisites are needed?

Python 3.10 or higher, the `uv` package manager, and a valid Medullar JWT token.

2

How do I provide my JWT token?

Store it in a `.env` file as `MEDULLAR_JWT=your_token`, or set it as an environment variable in your shell, or pass it via the `-v` flag with `mcp install`.

3

What data can I retrieve with the server?

The only endpoint is `get_medullar_spaces`, which returns a list of your spaces with their `name`, `uuid`, and `context`.

4

How do I run the server in production?

Install it for Claude Desktop with `mcp install server.py`, or run directly with `python server.py` or `mcp run server.py`.

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