Open-Meteo Weather
Free foreverdenolehov · Analytics
5k installs
Open-Meteo Weather is a hosted MCP server that gives any AI agent instant access to global weather data — current conditions, hourly forecasts, and multi-day daily outlooks for virtually any location on Earth. Built on the free, high-availability Open-Meteo API, it removes the friction of juggling API keys, rate limits, and geocoding logic every time a business wants to add weather context to an automated workflow. Instead of writing custom integration code for each project, you connect Open-Meteo Weather once through BusinessMCP's unified MCP endpoint and every downstream agent — Claude, GPT, Gemini, or any model-agnostic assistant — can query live weather data the same way it queries your CRM, ad platform, or database.
This MCP server is especially useful for teams building weather-aware automations: logistics and delivery routing tools that need real-time precipitation and wind data, retail and demand-forecasting systems that correlate sales with temperature swings, agriculture and outdoor-event platforms that need daily forecast summaries, or customer support agents that can proactively flag shipping delays due to storms. Because Open-Meteo covers global locations with hourly and daily granularity, it works equally well for hyper-local use cases (a single warehouse address) and broader regional planning (multi-city forecast comparisons for a national campaign).
What makes this listing valuable inside BusinessMCP.com is the business-intelligence layer wrapped around it. Rather than treating weather data as an isolated API call, BusinessMCP lets you combine Open-Meteo Weather with your other connected tools — a Postgres or Snowflake data warehouse, Google Analytics traffic data, or an ecommerce database — inside one dashboard. That means an agent can pull tomorrow's forecast for a delivery zone and simultaneously query your inventory database to auto-adjust staffing or restocking recommendations, all through a single /api/mcp Bearer-key endpoint with no cookie tracking and no GDPR headaches. Because the server is model-agnostic, you're not locked into a single AI vendor: swap Claude for GPT or Gemini without re-plumbing your weather integration.
Setup is designed for teams who want production-grade reliability without maintaining their own weather API wrapper. BusinessMCP manages the uptime, caching, and endpoint hosting, so your engineering team doesn't have to babysit a lightweight weather microservice or worry about Open-Meteo's request patterns changing underneath you. For companies exploring
Just say it in a thread
No configs, no docs. Once connected, these are the kinds of messages your agents act on.
"Fetch current temperature, precipitation, wind, and condition data for a given location — and give me the highlights."
"Retrieve hour-by-hour weather forecast data for a specified location and time range for me, then post a summary in the thread."
"Retrieve multi-day daily forecast summaries including highs, lows, and precipitation probability and flag anything that needs my approval."
What teams use it for
- Delivery and logistics platforms auto-adjusting routes based on real-time precipitation and wind forecasts
- Retail and demand-planning teams correlating temperature trends with sales data pulled from a connected warehouse
- Outdoor event or travel booking agents surfacing daily forecast summaries for any destination
- Customer support AI proactively flagging weather-related shipping delays before customers ask
- Agriculture or field-service tools scheduling work based on hourly precipitation windows
Agent-callable tools
get_current_weather
Fetch current temperature, precipitation, wind, and condition data for a given location.
get_hourly_forecast
Retrieve hour-by-hour weather forecast data for a specified location and time range.
get_daily_forecast
Retrieve multi-day daily forecast summaries including highs, lows, and precipitation probability.
geocode_location
Resolve a place name or address into latitude/longitude coordinates for weather lookups.
compare_locations_forecast
Compare forecasted conditions across multiple locations for a given date range.
get_historical_weather
Retrieve past weather observations for a location and date range where available.
Your data stays yours
Credentials live in your vault. We route requests — we never store, log, or train on your data.
Works with every AI
Connect once — portable across Claude, GPT, Gemini, and every local agent you run.
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Frequently asked questions
What locations does Open-Meteo Weather cover?
It provides global coverage, returning current conditions plus hourly and daily forecasts for essentially any city or coordinate pair worldwide.
How does an AI agent access this weather data?
Once connected through BusinessMCP, any agent — Claude, GPT, Gemini, or another model — can call it through the same hosted /api/mcp endpoint using a Bearer mcph_* key, alongside your other connected tools.
Can weather data be combined with our own business data?
Yes, BusinessMCP's BI dashboard lets you pair Open-Meteo Weather with connected databases like Postgres, Snowflake, or BigQuery so agents can reason across weather and business context together.
Keep exploring
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