Open-Meteo MCP Server
Get weather forecasts, historical data and air quality — no API key required, open-source weather data.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Open-Meteo MCP Server?
The Open-Meteo MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Open-Meteo via 5 tools. Get weather forecasts, historical data and air quality — no API key required, open-source weather data. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (5)
Tools for your AI Agents to operate Open-Meteo
Ask your AI agent "What's the weather forecast for São Paulo this week?" and get the answer without opening a single dashboard. With 5 tools connected to real Open-Meteo data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Open-Meteo MCP Server capabilities
5 tools5, PM10, nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide, dust, pollen and UV index. Requires latitude and longitude. Returns hourly data for up to 7 days. Common variables: pm2_5, pm10, nitrogen_dioxide, ozone, sulphur_dioxide, carbon_monoxide, dust, uv_index, alder_pollen, grass_pollen. Get air quality forecast for a location
Useful for hiking, aviation and geographic research. Get elevation for coordinates
Requires latitude and longitude. Supports hourly, daily and current weather variables. Common variables: temperature_2m, relative_humidity_2m, precipitation, rain, snowfall, wind_speed_10m, wind_direction_10m, wind_gusts_10m, weather_code, cloud_cover, pressure_msl, uv_index, visibility, apparent_temperature, dew_point_2m, sunshine_duration. Set past_days to include historical data (0-92 days). Set forecast_days for forecast length (0-16 days, default 7). Timezone defaults to GMT; use "auto" for local timezone. Get weather forecast for a location
Useful for finding coordinates to use with weather tools. Returns up to 10 results by default. Find coordinates for a place name
Requires latitude, longitude, start date and end date (YYYY-MM-DD format). Supports the same hourly variables as the forecast API. Historical data goes back to 1940 for most locations. Use get_geocoding to find coordinates for a city name. Get historical weather data for a location
What the Open-Meteo MCP Server unlocks
Connect to Open-Meteo and access global weather forecasts through natural conversation — no API key needed.
What you can do
- Current Weather — Get real-time temperature, humidity, wind, precipitation and conditions
- 7-Day Forecast — Hourly and daily forecasts up to 16 days ahead with 50+ weather variables
- Historical Weather — Access archived weather data going back to 1940 for any location
- Air Quality — Get PM2.5, PM10, NO2, O3, SO2, CO and UV index forecasts
- Geocoding — Find coordinates for any city or place name
- Elevation — Get elevation data for any coordinates
How it works
1. Subscribe to this server
2. No API key needed — start querying immediately
3. Get weather data from Claude, Cursor, or any MCP-compatible client
No API key required — completely free and open-source.
Who is this for?
- Travelers — check weather forecasts and air quality before and during trips
- Researchers — access historical weather data for climate studies and analysis
- Developers — integrate free weather data into applications without authentication
- Outdoor Planners — check UV index, wind speed and precipitation for events
Frequently asked questions about the Open-Meteo MCP Server
Do I need an API key?
No! Open-Meteo is completely free and open-source for non-commercial use. No API key, no sign-up, no registration. Just subscribe and start querying. For commercial use, you'll need an API key from open-meteo.com.
What weather variables are available?
50+ variables including: temperature (2m, 80m, 120m, 180m), apparent temperature, humidity, dew point, wind speed/direction/gusts, precipitation, rain, snowfall, snow depth, cloud cover, pressure, UV index, sunshine duration, visibility, evapotranspiration, soil temperature/moisture and many more.
How far back does historical data go?
Historical weather data goes back to 1940 for most locations worldwide. Use get_historical_weather with start_date and end_date in YYYY-MM-DD format to retrieve archived data.
How do I find coordinates for a city?
Use get_geocoding with the city name (e.g. 'São Paulo', 'Tokyo', 'London'). Returns coordinates, elevation, timezone and country info. Then use those coordinates with get_forecast or get_historical_weather.
More in this category
You might also like
Connect Open-Meteo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Open-Meteo MCP Server
Production-grade Open-Meteo MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






