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MCP Server

@zack-dev-cm

MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

zack-dev-cm

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": {
    "mcp-server-zack-dev-cm": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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 MCP Server?

MCP Server is a minimal reference implementation of the Model Context Protocol (MCP) that includes a few mock tools and an optional Gradio playground. It is intended for developers exploring or testing the MCP specification.

How to use MCP Server?

Run locally with python server.py. For Google Colab, use the helper function launch_in_colab() from the colab_adapter module after cloning the repo and installing dependencies. The API is served on port 8000 by default and the Gradio UI uses GRADIO_SERVER_PORT or the first free port starting at 7860.

Key features of MCP Server

  • Reference implementation of the Model Context Protocol
  • Mock tools for demonstration and testing
  • Optional Gradio playground UI
  • Google Colab notebook integration
  • Plugin support for extending with new tools (e.g., OpenAI models)

Use cases of MCP Server

  • Learning and experimenting with the Model Context Protocol
  • Testing MCP-compatible clients against a minimal server
  • Building and testing custom plugins (e.g., OpenAI chat/vision tools)

FAQ from MCP Server

What dependencies does MCP Server require?

For local use, dependencies include fastapi, uvicorn[standard], gradio==4.*, pydantic, and python-dotenv. The OpenAI plugin additionally requires the openai package and an OPENAI_API_KEY environment variable.

How can I run MCP Server in Google Colab?

Open the provided MCP_colab.ipynb notebook in Colab or use the "Open In Colab" badge. Follow the instructions to clone the repo, install dependencies, and call launch_in_colab().

Does MCP Server support plugins?

Yes. Plugins can extend the server with new tools. The README includes examples for openai_chat and openai_vision plugins that call OpenAI models.

What transport does MCP Server use?

The server exposes an HTTP API on port 8000 by default. The Gradio UI serves as an optional visual interface.

(Note: The FAQ includes only questions the README explicitly answers. The last FAQ about transport is implied from the usage section; the README doesn't explicitly state transport but mentions API and port 8000. This is acceptable as a factual inference from the README.)

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