rossshannon/Weekly-Weather-mcp

Overview

This is a Model Context Protocol (MCP) server that provides 7-day detailed weather forecasts for any location worldwide. It is written in Python and integrates with MCP clients like Claude to deliver structured weather data to language models.

Best for

Best for
Developers building MCP-based tools that need to supply weather forecasts to language models

Use cases

• Enrich an LLM application with real-time weather context for user queries
• Provide 7-day forecast data for trip planning or event scheduling
• Add weather awareness to conversational agents or automation tools

How to use

Install

pip3 install -r requirements.txt

Tools exposed

• get_weather
• get_current_weather

Tested with

Claude Desktop, Cursor

Example client config

{\n  "weather_forecast": {\n    "command": "python3",\n    "args": [\n      "/full_path/weather_mcp_server.py"\n    ],\n    "env": {\n      "OPENWEATHER_API_KEY": "your_openweathermap_key_here"\n    },\n    "disabled": false,\n    "autoApprove": ["get_weather", "get_current_weather"]\n  }\n}

Notes

This is a Model Context Protocol (MCP) server that provides 7-day detailed weather forecasts for any location worldwide. It is written in Python and integrates with MCP clients like Claude to deliver structured weather data to language models.

8 stars on GitHub. Last updated 2026-01-16. Licensed MIT.

Use cases

• Enrich an LLM application with real-time weather context for user queries
• Provide 7-day forecast data for trip planning or event scheduling
• Add weather awareness to conversational agents or automation tools

Pros

• Simple Python implementation, easy to set up and modify
• Returns detailed 7-day forecast for any global location
• Open source and publicly available on GitHub

Cons

• Limited to 7-day forecasts; no real-time or historical weather data
• Requires an MCP client and likely an external weather API key to function
• Low community traction with only 8 stars on GitHub

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