isdaniel/mcp_weather_server

Overview

A Model Context Protocol server that fetches weather data from the Open-Meteo API. It is written in Python and exposes weather information to MCP-compatible clients. The server provides current conditions and forecasts based on location coordinates.

Best for

Best for
Developers building MCP-based AI agents that need weather context

Use cases

• Integrating weather data into AI assistants
• Providing real-time weather for location-aware agents
• Building MCP-based tools that require weather context

How to use

Install

pip install mcp_weather_server

Tools exposed

• get_current_weather
• get_weather_by_datetime_range
• get_weather_details
• get_air_quality
• get_air_quality_details
• get_current_datetime
• get_timezone_info
• convert_time

Tested with

Claude Desktop, Cline

Example client config

{\n  "mcpServers": {\n    "weather": {\n      "command": "python",\n      "args": [\n        "-m",\n        "mcp_weather_server"\n      ],\n      "disabled": false,\n      "autoApprove": []\n    }\n  }\n}

Notes

A Model Context Protocol server that fetches weather data from the Open-Meteo API. It is written in Python and exposes weather information to MCP-compatible clients. The server provides current conditions and forecasts based on location coordinates.

50 stars on GitHub. Last updated 2026-04-14. Licensed Apache-2.0.

Use cases

• Integrating weather data into AI assistants
• Providing real-time weather for location-aware agents
• Building MCP-based tools that require weather context

Pros

• Simple setup with Python and standard dependencies
• Uses free Open-Meteo API with no API key required
• Lightweight and focused on a single task

Cons

• Limited to Open-Meteo data sources (no alternative providers)
• Requires MCP-compatible client to consume the service
• No built-in caching or rate limiting for repeated queries

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.