weather-mcp
A simple weather MCP server built with FastMCP for Smithery
Documentation
Weather MCP Server
A simple weather MCP server built with FastMCP that provides current weather data and city comparisons.
Features
- Get current weather for any city
- Compare weather between multiple cities
- Support for metric and imperial units
- Optional detailed forecasts
Quick Start
Installing via Smithery
To install Weather Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @glassBead-tc/weather-mcp --client claudeManual Installation
1. Install dependencies:
pip install -r requirements.txt2. Run locally:
python src/weather_server.py3. Test with Claude Desktop/Code:
Add to your MCP configuration:
{
"mcpServers": {
"weather": {
"command": "python",
"args": ["/path/to/weather-mcp/src/weather_server.py"]
}
}
}Tools
get_weather
Get current weather for a city.
- `city` (string): City name
- `units` (string, optional): "metric" or "imperial" (default: "metric")
- `detailed` (boolean, optional): Include 3-day forecast (default: false)
compare_weather
Compare weather between multiple cities (max 5).
- `cities` (array): List of city names
- `metric` (string, optional): Sort by "temperature", "humidity", or "wind" (default: "temperature")
Deploy to Smithery
1. Push to GitHub
2. Go to smithery.ai/new
3. Connect your repository
4. Deploy\!
Example Usage
# Get weather for London
await get_weather("London")
# Get detailed weather with forecast
await get_weather("Tokyo", units="imperial", detailed=True)
# Compare temperatures across cities
await compare_weather(["New York", "Los Angeles", "Chicago"], metric="temperature")EOF < /dev/null
Frequently asked questions
What is weather-mcp?
weather-mcp is A simple weather MCP server built with FastMCP for Smithery
How do I install weather-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is weather-mcp open source?
Yes — it is hosted on GitHub at https://github.com/glassBead-tc/weather-mcp.
Related MCP tools
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Automate browser based workflows with AI
Hindsight: Agent Memory That Learns
A privacy-first app that strips AI watermarks from content you own.
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP