MCP Weather SSE Server

@jdhettema

Basic information

About MCP Weather SSE Server

An MCP server that connects AI assistants to real-time weather data through OpenWeatherMap API using Server-Sent Events.

#mcp-weather-sse#weather-api #real-time-data

MCP Weather SSE Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-weather-sse": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Weather SSE Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Weather SSE Server?

It is a Model Context Protocol (MCP) server that connects to the OpenWeatherMap API via Server-Sent Events (SSE) to provide real-time weather data to AI tools like Claude, CursorAI, and MCP-Inspector.

How to use MCP Weather SSE Server?

Install the server, create a virtual environment, and install dependencies (pip install mcp requests). Start it with your OpenWeatherMap API key using a command-line argument (--api-key) or the OPENWEATHER_API_KEY environment variable. Then configure your MCP client (e.g., Cursor AI, Claude Desktop) to connect to the SSE endpoint at http://127.0.0.1:3001/sse.

Key features of MCP Weather SSE Server

Implements the Model Context Protocol for seamless AI tool integration
Uses SSE transport for real-time communication
Connects to OpenWeatherMap API for live weather data
Provides three weather query tools: current, forecast, and by coordinates
Supports optional metric or imperial units
Defaults to localhost for safe local use

Use cases of MCP Weather SSE Server

Ask an AI assistant for the current weather in any city
Request a multi-day weather forecast for travel planning
Get weather data for specific geographic coordinates
Integrate live weather information into custom AI workflows

Frequently asked questions

What are the prerequisites?

Python 3.8+ and a free API key from OpenWeatherMap.

How do I start the server?

Run `python mcp_weather_sse.py --api-key YOUR_API_KEY` or export `OPENWEATHER_API_KEY` and run without the flag. Customize host/port with `--host` and `--port`.

What clients can connect to this server?

Claude Desktop, Cursor AI, and MCP-Inspector are explicitly supported.

What tools does the server provide?

Three tools: `get_current_weather` (by city), `get_weather_forecast` (city + days), and `get_weather_by_coordinates` (latitude/longitude).

What security measures are in place?

The server binds to 127.0.0.1 by default. For production, you should implement authentication, HTTPS, and rate limiting to protect your OpenWeatherMap API quota.

Comments

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