Open Meteo MCP Server

Apify Actor providing the Open-Meteo Model Context Protocol server. Offers weather, air quality, marine, climate, and geocoding APIs via MCP for LLMs and automation. Supports all Open-Meteo tools and full MCP event billing.

Pricing

Pay per event

Rating

0.0

(0)

Developer

agentify

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Categories

MCP servers

Open source

You can access the Open Meteo MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("agentify/open-meteo-mcp-server").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Open Meteo MCP Server API in Python

The Apify API client for Python is the official library that allows you to use Open Meteo MCP Server API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client