Open Meteo MCP Server

Open Meteo MCP Server

by agentify

Run an Open-Meteo MCP server on Apify. Add weather, air quality, climate, and geocoding APIs directly to your LLMs and automations with full MCP billing support.

68 runs
17 users
Try This Actor

Opens on Apify.com

About Open Meteo MCP Server

Need to add weather or location data to your AI workflows? This Apify actor runs an MCP server for Open-Meteo, which is one of the best free weather APIs out there. I've used it to pipe real-time weather, air quality, and even marine forecasts directly into my LLM projects and automation scripts. It saves you the hassle of building your own integration from scratch. The server gives your LLM or automated agent access to the full suite of Open-Meteo tools through the Model Context Protocol. That means you can fetch current conditions, 16-day forecasts, historical climate data, and precise geocoding. It also handles the new MCP event billing, so you only pay for the data calls your AI actually makes. It’s perfect for building chatbots that can answer questions about the weather, automating alerts based on air quality indexes, or enriching datasets with location-specific climate information. Since it's open-source, you can see exactly how it works and adapt it if needed. Just set it up on Apify, connect your LLM via MCP, and start querying weather data as if it were a native capability.

What does this actor do?

Open Meteo MCP Server is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Open Meteo MCP Server

An Apify Actor that serves as a Model Context Protocol (MCP) server for the Open-Meteo API. It provides programmatic access to global weather and forecast data for AI applications and other clients that support the MCP standard.

Overview

This server acts as a bridge, exposing the Open-Meteo weather API through the Model Context Protocol. It allows MCP clients (like certain AI assistants and development tools) to fetch weather data by calling defined tools. The actor runs on Apify's platform and uses a Pay Per Event (PPE) pricing model.

Key Features

  • Weather Forecast: Retrieve current conditions, hourly forecasts, and daily forecasts for any location using latitude and longitude.
  • Historical Weather: Access past weather data for a specific location and date range.
  • Air Quality Data: Get air quality index and related metrics where supported by the underlying Open-Meteo API.
  • MCP Standard: Integrates seamlessly with any client that supports the Model Context Protocol.

How to Use

Connection

MCP clients connect to the server at the following URL:

https://mcp-servers--open-meteo-mcp-server.apify.actor/mcp

Client Configuration

To connect, add this server configuration to your MCP client settings. You must provide a valid Apify API token.

{
  "mcpServers": {
    "open-meteo": {
      "url": "https://mcp-servers--open-meteo-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}

Note: Replace YOUR_APIFY_TOKEN with your actual token from the Apify Console. For general guidance on using MCP servers, see the official documentation at mcp.apify.com.

Pricing

Usage is billed via Apify's Pay Per Event (PPE) model. Specific pricing per tool call is defined in the actor's .actor/pay_per_event.json file.

Input/Output

The server provides several tools (like weather_forecast or historical_weather). Inputs typically include:
* latitude and longitude (required for most tools)
* start_date and end_date (for historical data)

Outputs are structured JSON responses containing the requested weather metrics (temperature, precipitation, wind speed, etc.) as provided by the Open-Meteo API.

References & Credits

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Open Meteo MCP Server now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
agentify
Pricing
Paid
Total Runs
68
Active Users
17
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

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