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MCP Client & Server Example

@xiaoye-hua

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

xiaoye-hua

MCP Client & Server Example について

概要はまだありません

#mcp#client#server#example

MCP Client & Server Example 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_client_example": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Client & Server Example 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 Client & Server Example?

MCP Client & Server Example is a reference implementation of a Model Context Protocol (MCP) client and server that provides weather data using the National Weather Service API and integrates with Claude AI. It is intended for developers learning MCP or building AI-powered weather tools.

How to use MCP Client & Server Example?

Clone the repository, install uv (Python package installer), create a virtual environment, install dependencies with uv pip install -e ., copy .env.example to .env, paste your Anthropic API key, then run the server or client scripts (e.g., weather_server.py, client_example.py).

Key features of MCP Client & Server Example

  • MCP server with weather service endpoints
  • Interactive client with Claude AI integration
  • Uses the National Weather Service API
  • Python 3.12+ and uv based
  • Minimal setup with .env for API key

Use cases of MCP Client & Server Example

  • Learning how to implement an MCP client and server
  • Prototyping a weather chatbot powered by Claude AI
  • Demonstrating MCP integration with external APIs

よくある質問

1

What Python version is required?

Python 3.12 or higher is required.

2

What dependencies are needed?

`uv` (Python package installer) and an Anthropic API key stored in a `.env` file.

3

How do I install the project?

Clone the repository, run `uv venv` to create a virtual environment, activate it, then run `uv pip install -e .` to install all dependencies.

4

What data does the server use?

The server uses the National Weather Service API to provide weather data.

5

What is the project structure?

It includes `weather_server.py` (MCP server), `client_example.py` (interactive client with Claude), and `weather_example.py` (example using the National Weather Service).

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