MCP server

Open Meteo

io.github.cyanheads/open-meteo-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Global weather via Open-Meteo: forecast, historical, marine, air quality, geocoding, elevation.

Working at last checkAbout 14,490 tokens per request once connected11 toolsDescription tries to instruct AI agents

Source

https://open-meteo.caseyjhand.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 11
Token cost: About 14,490 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.open-meteo-mcp-server]
url = "https://open-meteo.caseyjhand.com/mcp"

Gemini CLI

{"mcpServers":{"open-meteo-mcp-server":{"httpUrl":"https://open-meteo.caseyjhand.com/mcp"}}}

Cursor

{"mcpServers":{"open-meteo-mcp-server":{"url":"https://open-meteo.caseyjhand.com/mcp"}}}

VS Code

{"servers":{"open-meteo-mcp-server":{"type":"http","url":"https://open-meteo.caseyjhand.com/mcp"}}}

Antigravity

agy mcp add open-meteo-mcp-server https://open-meteo.caseyjhand.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"open-meteo-mcp-server","server_url":"https://open-meteo.caseyjhand.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"open-meteo-mcp-server","server_url":"https://open-meteo.caseyjhand.com/mcp"}

Tools

openmeteo_dataframe_describe ~236 tokens
List the tables and their columns on a DataCanvas staged by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_quality, openmeteo_get_ensemble, openmeteo_get_flood, or openmeteo_get_climate. Call this first to discover table names before querying with openmeteo
openmeteo_dataframe_query ~712 tokens
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_quality, openmeteo_get_ensemble, openmeteo_get_flood, or openmeteo_get_climate. Pass the canvas_id returned when any of those tools spills (tr
openmeteo_get_air_quality ~1469 tokens
Modeled CAMS (Copernicus Atmosphere Monitoring Service) air quality: PM2.5, PM10, nitrogen dioxide, sulphur dioxide, ozone, carbon monoxide, dust, pollen, and European/US AQI indices. This is modeled grid data, not measured station readings — for measured data, use openaq-mcp-server. Forecast horizo
openmeteo_get_climate ~1229 tokens
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 like through 2050?" — the future-projection counterpart to openmeteo_get_historical (the observed archive, what happened). Daily resolution o
openmeteo_get_elevation ~444 tokens
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 first 100 in one upstream request; when more were submitted, unprocessed_count says how many remain and next_offset is where to resume — resubmi
openmeteo_get_ensemble ~1792 tokens
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's columns are null past its horizon, and the response notice names where its data ends. Each member's values appear as separate columns nam
openmeteo_get_flood ~1886 tokens
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. That river is not always the closest one: at 5 km resolution a point near a confluence or a pair of parallel channels can resolve to an uninten
openmeteo_get_forecast ~2216 tokens
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 instead of openmeteo_get_historical for dates within the last 1–5 days, since the archive’s ERA5 components lag by up to ~5 days. Returns per-
openmeteo_get_historical ~1715 tokens
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 omitted the archive answers from Best Match, which blends IFS HRES, ERA5, and ERA5-Land seamlessly — so the source varies by date and no single
openmeteo_get_marine ~1997 tokens
Marine wave and ocean conditions for a coastal or ocean coordinate: wave height, wave period, wave direction, wind-wave height, swell height, sea-surface temperature. Forecast horizon up to 8 days, with optional past_days (up to 92) for recent history — or start_date and end_date together for an arc
openmeteo_search_locations ~794 tokens
Resolve a place name to ranked coordinate matches with country, region, elevation, timezone, and population. Required prerequisite for name-based queries — all weather tools take latitude/longitude, not place names. Search by a bare place name (city, region, or landmark); never fold a qualifier into

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