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Open Meteo MCP

Open Meteo MCP

Local
github.com/lamcearber-specMedia & Design0Updated 30w ago
Repository

About Open Meteo MCP

MCP server for AI agents: weather forecasts, air quality, UV index, and historical data. Powered by Open-Meteo (free, unlimited, no API key)

#weather#forecast#air-quality#uv-index#climate#open-meteo#mcp#ai-agent

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "weather-mcp-lamcearber-spec": {
      "command": "npx",
      "args": [
        "-y",
        "open-meteo-mcp"
      ]
    }
  }
}
Run commandnpx -y open-meteo-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmopen-meteo-mcp

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
locationstringYesCity name (e.g. Berlin, Tokyo, New York)

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.