dailymeteo-mcp

An MCP server for DailyMeteo. With it, an AI assistant (Claude, VS Code, Cursor and other MCP clients) can answer questions about historical weather and climate change for any land location. Data are 1 km grids from 1961 to the present.

How much warmer are July days in Belgrade now than in 1961–1990? Which was the wettest year in Lisbon since 1961? Download daily mean temperature grids for Europe for 2003.

Tools

Everything the DailyMeteo app offers, for land areas worldwide, from 1961 to the present:

Variables are tmean, tmax and tmin in °C, and prcp in mm (monthly and annual values are totals).

As in the app, daily requests over 1,000 credits ask for the user's confirmation, and area downloads should be estimated before they are ordered. Repeating the same daily request is not charged again. Long series are not dumped into the conversation. They are summarised (per variable and per year) and saved as CSV.

Configuration

All environment variables are optional. Without any of them, monthly and annual values, normals, links and Zenodo grids work.

• DAILYMETEO_EMAIL and DAILYMETEO_PASSWORD: your DailyMeteo account. They enable daily values, credits, point history and area downloads. Sign up at https://app.dailymeteo.com/.
• DAILYMETEO_API_KEY: alternative for daily values only (Account → API Keys).
• DAILYMETEO_OUTPUT_DIR: where CSV files and downloads are saved (default ~/dailymeteo).

Claude Code

claude mcp add dailymeteo -s user -e DAILYMETEO_EMAIL=you@example.com -e DAILYMETEO_PASSWORD=... -- uvx dailymeteo-mcp

Claude Desktop, Cursor, VS Code (mcpServers JSON)

{
  "mcpServers": {
    "dailymeteo": {
      "command": "uvx",
      "args": ["dailymeteo-mcp"],
      "env": { "DAILYMETEO_EMAIL": "you@example.com", "DAILYMETEO_PASSWORD": "..." }
    }
  }
}

Docker (no local Python)

docker build -t dailymeteo-mcp .
claude mcp add-json dailymeteo -s user '{"type":"stdio","command":"docker","args":["run","-i","--rm","-e","DAILYMETEO_EMAIL","-e","DAILYMETEO_PASSWORD","-v","/path/to/output:/data","dailymeteo-mcp"]}'

Data and citation

The values are interpolated grids, not station measurements. Results used in a publication should cite:

Sekulić, A., & Kilibarda, M. (2026). MeteoEurope1km (1961–2020): daily gridded meteorological dataset for Europe at a 1-km spatial resolution. Zenodo. https://doi.org/10.5281/zenodo.23264155

Built on the Python client dailymeteo. License: GPL-2.0-or-later.