MCP Weather is built with the Model Control Protocol (MCP) framework to provide AI agents access to real-time weather data from the National Weather Service. It offers features such as weather alerts and detailed forecasts for specific locations.
MCP Weather is built with the Model Control Protocol (MCP) framework to provide AI agents access to real-time weather data from the National Weather Service. It offers features such as weather alerts and detailed forecasts for specific locations.
Clone the repository, install dependencies, and run with Python.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-weather": {
"command": "npx",
"args": [
"-y",
"Clone the repository, install dependencies, and run with Python."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MCP Weather?"
No configuration required. This server works out of the box.
"What resources are available in MCP Weather?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MCP Weather"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MCP Weather with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
See what tools in your stack can connect to AI.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.