# Cyanheads Open Meteo MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.cyanheads%2Fopen-meteo-mcp-server
Registry id: `mcp-registry/io.github.cyanheads/open-meteo-mcp-server`
Status: live (checked 2026-10-26T18:28:16.998Z)

## Verdict

Cyanheads Open Meteo MCP server answered 99.85% of Glimind's liveness checks over 30 days, better than 27% of MCP servers, with 536 ms median handshake and 21 outages in 90 days. Its agent-readiness grade is A (92/100) across 11 tools, costing an agent about 11,391 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.85% | 27% of MCP servers |
| Median handshake latency | 536 ms | 49% of MCP servers |
| p95 handshake latency | 3078 ms | — |
| Checks in 30 days | 4,944 | — |
| Outages, 90 days | 21 | — |
| Median recovery | 5 min | — |
| Agent-readiness score | 92/100 (A) | 73% of MCP servers |
| Tools | 11 | — |
| Tool-list size for an agent | ~11,391 tokens | 16% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "cyanheads-open-meteo-mcp-server": {
      "type": "http",
      "url": "https://open-meteo.caseyjhand.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http cyanheads-open-meteo-mcp-server https://open-meteo.caseyjhand.com/mcp
```

## Tools (11)

- `openmeteo_dataframe_describe`: List the tables and their columns on a DataCanvas staged by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_quality, o
- `openmeteo_dataframe_query`: Run a read-only SQL SELECT against tables staged on a DataCanvas by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_qu
- `openmeteo_get_air_quality`: Modeled CAMS (Copernicus Atmosphere Monitoring Service) air quality: PM2.5, PM10, nitrogen dioxide, sulphur dioxide, ozone, carbon monoxide, dust, pollen, and E
- `openmeteo_get_climate`: Long-range climate projections from bias-corrected daily CMIP6 models, covering 1950-01-01 to 2050-12-31 at any coordinate. Answers "what will conditions look l
- `openmeteo_get_elevation`: Terrain elevation from the Copernicus Digital Elevation Model (~90m resolution) for one or more coordinate pairs. Accepts up to 1,000 pairs and samples the firs
- `openmeteo_get_ensemble`: Probabilistic ensemble weather forecast — up to 64 ensemble members, up to 35 days ahead with optional past_days (0–92). Most models end within 16 days; a model
- `openmeteo_get_flood`: GloFAS (Global Flood Awareness System) daily river discharge (m³/s) for the largest modeled river within 5 km of the given coordinates — no river ID needed. Tha
- `openmeteo_get_forecast`: Weather forecast for coordinates: hourly and/or daily variables for up to 16 days ahead, with optional past_days (up to 92) for recent history. Use past_days in
- `openmeteo_get_historical`: Historical weather from the Open-Meteo reanalysis archive (1940–present). Requires start_date and end_date (ISO 8601 date, e.g., "2024-07-01"). With models omit
- `openmeteo_get_marine`: Marine wave and ocean conditions for a coastal or ocean coordinate: wave height, wave period, wave direction, wind-wave height, swell height, sea-surface temper
- `openmeteo_search_locations`: Resolve a place name to ranked coordinate matches with country, region, elevation, timezone, and population. Required prerequisite for name-based queries — all 

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.