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devilcoder01/weather-mcp-server

by Various

A simple minimal weather mcp server :)

D

MCP

devilcoder01/weather-mcp-server

Added 1 June 2026

#mcp-server #weather-api #weather-mcp-server

Overview

A minimal Python server implementing the Model Context Protocol (MCP) to provide weather data. It exposes basic weather information through a standardized interface for AI tools and agents. The project is open source with 21 stars on GitHub.

Best for

Best for
Developers who need a quick, minimal weather MCP server for prototyping or personal projects

Use cases

  • Integrate live weather data into an AI assistant or chatbot
  • Prototype a weather-aware tool using the MCP protocol
  • Serve weather queries to local MCP-compatible clients

How to use

Install

npx -y @smithery/cli install @devilcoder01/weather-mcp-server --client claude

Tools exposed

  • uv
  • git
  • python

Tested with

Claude Desktop

Notes

A minimal Python server implementing the Model Context Protocol (MCP) to provide weather data. It exposes basic weather information through a standardized interface for AI tools and agents. The project is open source with 21 stars on GitHub.

21 stars on GitHub. Last updated 2025-08-21. Licensed MIT.

Use cases

  • Integrate live weather data into an AI assistant or chatbot
  • Prototype a weather-aware tool using the MCP protocol
  • Serve weather queries to local MCP-compatible clients

Pros

  • Simple and lightweight, easy to set up and run
  • Open source with permissive licensing
  • Uses the standard MCP protocol for interoperability

Cons

  • Minimal feature set with limited weather data coverage
  • Small community and low star count may indicate limited maintenance
  • Lacks extensive documentation or usage examples

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

Pros

  • Simple and lightweight, easy to set up and run
  • Open source with permissive licensing
  • Uses the standard MCP protocol for interoperability

Cons

  • Minimal feature set with limited weather data coverage
  • Small community and low star count may indicate limited maintenance
  • Lacks extensive documentation or usage examples
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