Weather MCP Server is a real-time meteorological data provider that sources weather and air quality information from the Open-Meteo API. It enables applications to retrieve comprehensive weather metrics for any global location without requiring API authentication. Key capabilities include: - Current weather conditions including temperature, humidity, dew point, wind speed and direction, precipitation probability, atmospheric pressure, cloud cover, UV index, visibility, and "feels like" temperature - Historical and forecasted hourly weather data for custom date ranges - Air quality metrics such as PM2.5, PM10, ozone, nitrogen dioxide, carbon monoxide, sulfur dioxide, ammonia, dust concentration, and aerosol optical depth with health recommendations - Timezone management tools for current time retrieval, timezone conversion, and timezone metadata - Flexible transport options supporting stdio for desktop clients, Server-Sent Events (SSE), and Streamable HTTP for web-based integrations

[](https://smithery.ai/server/@isdaniel/mcp_weather_server) [](https://pypi.org/project/mcp-weather-server/) [](https://pypi.org/project/mcp-weather-server/) [](https://pepy.tech/projects/mcp-weather-server) [](https://hub.docker.com/r/dog830228/mcp_weather_server)

Weather MCP Server

mcp-name: io.github.isdaniel/mcp_weather_server

A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API. This server supports multiple transport modes: standard stdio, HTTP Server-Sent Events (SSE), and the new Streamable HTTP protocol for web-based integration.

Features

Weather & Air Quality

Time & Timezone

Transport Modes

Installation

Installing via Smithery

To install Weather MCP Server automatically via Smithery:

npx -y @smithery/cli install @isdaniel/mcp_weather_server

Standard Installation (for MCP clients like Claude Desktop)

This package can be installed using pip:

pip install mcp_weather_server

Manual Configuration for MCP Clients

This server is designed to be installed manually by adding its configuration to the cline_mcp_settings.json file.

1. Add the following entry to the mcpServers object in your cline_mcp_settings.json file:

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

2. Save the cline_mcp_settings.json file.

HTTP Server Installation (for web applications)

For HTTP SSE or Streamable HTTP support, you'll need additional dependencies:

pip install mcp_weather_server starlette uvicorn

Server Modes

This MCP server supports stdio, SSE, and streamable-http modes in a single unified server:

Mode Comparison

| Feature | stdio | SSE | streamable-http | |---------|-------|-----|-----------------| | Use Case | Desktop MCP clients | Web applications (legacy) | Web applications (modern) | | Protocol | Standard I/O streams | Server-Sent Events | MCP Streamable HTTP | | Session Management | N/A | Stateful | Stateful or Stateless | | Endpoints | N/A | /sse, /messages/ | /mcp (single) | | Best For | Claude Desktop, Cline | Browser-based apps | Modern web apps, APIs | | State Options | N/A | Stateful only | Stateful or Stateless |

1. Standard MCP Mode (Default)

# Default mode (stdio)
python -m mcp_weather_server
Explicitly specify stdio mode
python -m mcp_weather_server.server --mode stdio

2. HTTP SSE Mode (Web Applications)

# Start SSE server on default host/port (0.0.0.0:8080)
python -m mcp_weather_server --mode sse
Specify custom host and port
python -m mcp_weather_server --mode sse --host localhost --port 3000
Enable debug mode
python -m mcp_weather_server --mode sse --debug

SSE Endpoints:

3. Streamable HTTP Mode (Modern MCP Protocol)