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MCP Server

@devhysterical

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

devhysterical

MCP Server について

概要はまだありません

#mcp-server#model-context-protocol#api-server

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": {
    "mcp-server-devhysterical": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

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 MCP Server?

MCP Server implements the Model Context Protocol (MCP), enabling large language models (LLMs) to interact with external tools and services through a standardized interface.

How to use MCP Server?

Clone the repository, create and activate a Python virtual environment (Python 3.8+), install dependencies with pip install -r requirements.txt, then run python main.py. The server starts at http://localhost:8000. Use its RESTful API endpoints: a GET at / for server info and tool list, or a POST at /execute to invoke tools with JSON parameters.

Key features of MCP Server

  • Supports multiple tools: calculator, weather, search
  • RESTful API built with FastAPI
  • Data validation with Pydantic
  • Efficient asynchronous processing
  • Automatic API documentation via Swagger UI at /docs

Use cases of MCP Server

  • Allow an LLM to perform real-time calculations
  • Fetch current weather data for a location
  • Execute web searches through an LLM interface
  • Extend the server with custom tools for new integrations

よくある質問

1

What is MCP Server?

MCP Server is a server that implements the Model Context Protocol, providing a standardized way for LLMs to use external tools and services.

2

What are the system requirements?

Python 3.8 or above and the pip package manager.

3

How do I run the server?

After installing dependencies, run `python main.py`. The server will be available at `http://localhost:8000`.

4

How can I add a new tool?

Add the tool’s name and description to the `SUPPORTED_TOOLS` dictionary, then add a handler function in `process_tool_request` and create a dedicated function for the new tool.

5

Where can I view the API documentation?

Access `http://localhost:8000/docs` to see the auto-generated Swagger UI documentation.

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