Integrate Open-Meteo with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet air quality on Open-Meteo
5, 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
Get elevation on Open-Meteo
Useful for hiking, aviation and geographic research. Get elevation for coordinates
Get forecast on Open-Meteo
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
Get geocoding on Open-Meteo
Useful for finding coordinates to use with weather tools. Returns up to 10 results by default. Find coordinates for a place name
Get historical weather on Open-Meteo
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
Security & Code Integrity Audit
Every tool in the Open-Meteo MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Open-Meteo
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Streamlining weather forecast
The Open-Meteo integration exposes LLM-friendly schemas for weather forecast. Tools like Cursor can map natural language directly into executable data analytics commands.
Claude Code Integration for historical weather
The Open-Meteo integration allows Cursor and ChatGPT to securely fetch historical weather data. It handles the API requests required for data analytics operations.
Open-Meteo. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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