Weather MCP Server
Provides weather forecast and alert information from the National Weather Service API, allowing users to query weather forecasts by coordinates and check weather alerts by state.
README
How the LLM Uses These Tools
Example 1: Weather Alerts
You: "Are there any weather alerts in California?"
Claude's process:
- Recognizes it needs weather alert info
- Calls
get_alerts(state="CA") - Gets the formatted response
- Presents it to you in natural language
Example 2: Weather Forecast
You: "What's the weather forecast for San Francisco?"
Claude's process:
- Knows SF coordinates (or looks them up)
- Calls
get_forecast(latitude=37.7749, longitude=-122.4194) - Gets 5-period forecast
- Summarizes it for you
Run the mcp server
uv run weather.py
Update the claude config file claude_desktop_config.json to below content
{ "mcpServers": { "weather": { "command": "/Users/santhosh.sharma/.local/bin/uv", "args": [ "--directory", "/Users/santhosh.sharma/Repositories/mcp-weather", "run", "weather.py" ] } } }
Reference : https://modelcontextprotocol.io/docs/develop/build-server#python
Analyze logs in ~/Library/Logs/Claude/mcp.log
When you ask Claude (with this MCP server connected):
Docstring best practises:
- First line = One-line summary (imperative mood: "Get", "Format", "Calculate")
- Use present tense ("Returns the sum" not "Will return")
- Be specific about parameter types and expected values
- Include examples for complex functions
- Keep it updated when code changes
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