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MCP Demo

@guobinqiu

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guobinqiu

MCP Demo について

测试 mcp client 通过 deepseek 连接 mcp server 获取天气预报

#mcp#demo#weather-forecast

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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MCP Demo のツール

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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 Demo?

MCP Demo is a demonstration MCP (Model Context Protocol) server that provides weather forecasts and alerts from the U.S. National Weather Service. It is designed for use with language models like DeepSeek-V3 (deepseek-chat) that support the tools attribute.

How to use MCP Demo?

Clone the repository, create a Python virtual environment with uv, and set your OPENAI_API_KEY in a .env file. Run the client with python client/main.py server/main.py. The client accepts natural language queries about weather.

Key features of MCP Demo

  • Provides two tools: get_alerts and get_forecast
  • Uses the free National Weather Service API (api.weather.gov)
  • Requires DeepSeek-V3 model (deepseek-chat) for tool support
  • Written in Python, with a Golang version also available
  • Simple client-server architecture over stdio

Use cases of MCP Demo

  • Get current weather forecast for any U.S. city
  • Retrieve weather alerts for a given location
  • Demonstrate MCP integration with an LLM

よくある質問

1

What tools are available?

Two tools: `get_alerts` and `get_forecast`.

2

How do I install and run it?

Install `uv`, clone the repo, create a virtual environment, and run `python client/main.py server/main.py`. Set your `OPENAI_API_KEY` in a `.env` file first.

3

Which LLM does this demo work with?

It works with `deepseek-chat` (DeepSeek-V3) because only V3 has the `tools` attribute. Other models like `deepseek-reasoner` are not supported.

4

Do I need any API keys?

Yes, you need an OpenAI API key (though the demo queries the NWS API, not OpenAI). Set it in the `.env` file.

5

Where does the weather data come from?

The data comes from the public U.S. National Weather Service API at `https://api.weather.gov`.

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