# dailymeteo-mcp

<!-- mcp-name: io.github.srpp011/dailymeteo-mcp -->

An [MCP](https://modelcontextprotocol.io/) server for [DailyMeteo](https://app.dailymeteo.com/). 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.*

## Install

**Easiest:** ask your AI assistant (Claude Code, Cursor, Cline…): *"Install the DailyMeteo MCP server from github.com/srpp011/dailymeteo-mcp"*. It will follow [llms-install.md](llms-install.md).

**Claude Code plugin.** The plugin includes the server and a skill that tells Claude which tool to use. It asks for your DailyMeteo email and password, which are optional:

```
claude plugin marketplace add srpp011/dailymeteo-mcp
claude plugin install dailymeteo@dailymeteo
```

The first start downloads about 60 MB. If the server shows *failed* in a new session, wait a minute and reconnect it with `/mcp`.

All other clients need [uv](https://docs.astral.sh/uv/) and run `uvx --python 3.12 dailymeteo-mcp`. See [Configuration](#configuration).

## Tools

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

| Tool | What it does | Cost |
|---|---|---|
| `find_location` | Place name → latitude/longitude (OpenStreetMap) | free |
| `find_area` | Area name → boundary polygon and size, for area downloads | free |
| `get_weather` | Daily, monthly or annual values for a location; several variables at once; summary, yearly aggregates, trend, CSV | monthly/annual free; daily 1 credit per day and variable |
| `get_climate_normals` | Normals 1961–1990 and 1991–2020 and their change (year, months, or a calendar day) | free |
| `account_status` | Plan, API credits, bulk credits | free |
| `request_point_history` | Every variable, daily, for one location (whole record by default), CSV by email | 1 bulk credit |
| `estimate_area_download` | Cost of daily rasters clipped to an area (max 3,000 km²) | free |
| `request_area_download` | Daily GeoTIFF rasters clipped to an area, by email | API credits |
| `app_link` | Opens the location and series in the DailyMeteo app (map, chart, CSV/PDF export) | free |
| `list_gridded_files` / `download_gridded_files` | MeteoEurope1km raster archives on Zenodo (Europe, 1961–2020, incl. sea-level pressure) | free |

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 --python 3.12 dailymeteo-mcp
```

### Claude Desktop, Cursor, VS Code (`mcpServers` JSON)

```json
{
  "mcpServers": {
    "dailymeteo": {
      "command": "uvx",
      "args": ["--python", "3.12", "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`](https://pypi.org/project/dailymeteo/). License: GPL-2.0-or-later.