What tools are available?
Two tools: `get_alerts` and `get_forecast`.
MCP Demo
@guobinqiu
基本信息
关于 MCP Demo
测试 mcp client 通过 deepseek 连接 mcp server 获取天气预报
MCP Demo 配置
MCP Demo 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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_alertsandget_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
常见问题
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.
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.
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.
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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