Mcp Weather Server

[](https://smithery.ai/server/@isdaniel/mcpweatherserver) [](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/mcpweatherserver)

Weather MCP Server

mcp-name: io.github.isdaniel/mcpweatherserver

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

• Get current weather information with comprehensive metrics:
• Temperature, humidity, dew point
• Wind speed, direction, and gusts
• Precipitation (rain/snow) and probability
• Atmospheric pressure and cloud cover
• UV index and visibility
• "Feels like" temperature
• Get weather data for a date range with hourly details
• Get air quality information including:
• PM2.5 and PM10 particulate matter
• Ozone, nitrogen dioxide, carbon monoxide
• Sulfur dioxide, ammonia, dust
• Aerosol optical depth
• Health advisories and recommendations

Time & Timezone

• Get current date/time in any timezone
• Convert time between timezones
• Get timezone information

Transport Modes

• Multiple transport modes:
• stdio - Standard MCP for desktop clients (Claude Desktop, etc.)
• SSE - Server-Sent Events for web applications
• streamable-http - Modern MCP Streamable HTTP protocol with stateful/stateless options
• RESTful API endpoints via Starlette integration

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": []
    }
  }
}

1. 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)

The standard mode communicates via stdio and is compatible with MCP clients like Claude Desktop.

# 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)

The SSE mode runs an HTTP server that provides MCP functionality via Server-Sent Events, making it accessible to 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:

• GET /sse - SSE endpoint for MCP communication
• POST /messages/ - Message endpoint for sending MCP requests

3. Streamable HTTP Mode (Modern MCP Protocol)

The streamable-http mode implements the new MCP Streamable HTTP protocol with a single /mcp endpoint. This mode supports both stateful (default) and stateless operations.

# Start streamable HTTP server on default host/port (0.0.0.0:8080)
python -m mcp_weather_server --mode streamable-http

# Specify custom host and port
python -m mcp_weather_server --mode streamable-http --host localhost --port 3000

# Enable stateless mode (creates fresh transport per request, no session tracking)
python -m mcp_weather_server --mode streamable-http --stateless

# Enable debug mode
python -m mcp_weather_server --mode streamable-http --debug

Streamable HTTP Features:

• Stateful mode (default): Maintains session state across requests using session IDs
• Stateless mode: Creates fresh transport per request with no session tracking
• Single endpoint: All MCP communication happens through /mcp
• Modern protocol: Implements the latest MCP Streamable HTTP specification

Streamable HTTP Endpoint:

• POST /mcp - Single endpoint for all MCP communication (initialize, tools/list, tools/call, etc.)

Command Line Options:

--mode {stdio,sse,streamable-http}  Server mode: stdio (default), sse, or streamable-http
--host HOST                          Host to bind to (HTTP modes only, default: 0.0.0.0)
--port PORT                          Port to listen on (HTTP modes only, default: 8080)
--stateless                          Run in stateless mode (streamable-http only)
--debug                              Enable debug mode

Example SSE Usage:

// Connect to SSE endpoint
const eventSource = new EventSource('http://localhost:8080/sse');

// Send MCP tool request
fetch('http://localhost:8080/messages/', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    type: 'tool_call',
    tool: 'get_weather',
    arguments: { city: 'Tokyo' }
  })
});

Example Streamable HTTP Usage:

// Initialize session and call tool using Streamable HTTP protocol
async function callWeatherTool() {
  const response = await fetch('http://localhost:8080/mcp', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      jsonrpc: '2.0',
      method: 'tools/call',
      params: {
        name: 'get_current_weather',
        arguments: { city: 'Tokyo' }
      },
      id: 1
    })
  });

  const result = await response.json();
  console.log(result);
}

Configuration

This server does not require an API key. It uses the Open-Meteo API, which is free and open-source.

Usage

This server provides several tools for weather and time-related operations:

Available Tools

Weather Tools

1. get_current_weather - Get current weather for a city with comprehensive metrics
2. get_weather_by_datetime_range - Get weather data for a date range with hourly details
3. get_weather_details - Get detailed weather information as structured JSON data

Air Quality Tools

1. get_air_quality - Get air quality information with pollutant levels and health advice
2. get_air_quality_details - Get detailed air quality data as structured JSON

Time & Timezone Tools

1. get_current_datetime - Get current time in any timezone
2. get_timezone_info - Get timezone information
3. convert_time - Convert time between timezones

Tool Details

get_current_weather

Retrieves comprehensive current weather information for a given city with enhanced metrics.

Parameters:

• city (string, required): The name of the city (English names only)

Returns: Detailed weather data including:

• Temperature and "feels like" temperature
• Humidity, dew point
• Wind speed, direction (as compass direction), and gusts
• Precipitation details (rain/snow) and probability
• Atmospheric pressure and cloud cover
• UV index with warning levels
• Visibility

Example Response:

The weather in Tokyo is Mainly clear with a temperature of 22.5°C (feels like 21.0°C),
relative humidity at 65%, and dew point at 15.5°C. Wind is blowing from the NE at 12.5 km/h
with gusts up to 18.5 km/h. Atmospheric pressure is 1013.2 hPa with 25% cloud cover.
UV index is 5.5 (Moderate). Visibility is 10.0 km.

get_weather_by_datetime_range

Retrieves hourly weather information with comprehensive metrics for a specified city between start and end dates.

Parameters:

• city (string, required): The name of the city (English names only)
• start_date (string, required): Start date in format YYYY-MM-DD (ISO 8601)
• end_date (string, required): End date in format YYYY-MM-DD (ISO 8601)

Returns: Comprehensive weather analysis including:

• Hourly weather data with all enhanced metrics
• Temperature trends (highs, lows, averages)
• Precipitation patterns and probabilities
• Wind conditions assessment
• UV index trends
• Weather warnings and recommendations

Example Response:

[Analysis of weather trends over 2024-01-01 to 2024-01-07]
- Temperature ranges from 5°C to 15°C
- Precipitation expected on Jan 3rd and 5th (60% probability)
- Wind speeds averaging 15 km/h from SW direction
- UV index moderate (3-5) throughout the period
- Recommendation: Umbrella needed for midweek

get_weather_details

Get detailed weather information for a specified city as structured JSON data for programmatic use.

Parameters:

• city (string, required): The name of the city (English names only)

Returns: Raw JSON data with all weather metrics suitable for processing and analysis

get_air_quality

Get current air quality information for a specified city with pollutant levels and health advisories.

Parameters:

• city (string, required): The name of the city (English names only)
• variables (array, optional): Specific pollutants to retrieve. Options:
• pm10 - Particulate matter ≤10μm
• pm2_5 - Particulate matter ≤2.5μm
• carbon_monoxide - CO levels
• nitrogen_dioxide - NO2 levels
• ozone - O3 levels
• sulphur_dioxide - SO2 levels
• ammonia - NH3 levels
• dust - Dust particle levels
• aerosol_optical_depth - Atmospheric turbidity

Returns: Comprehensive air quality report including:

• Current pollutant levels with units
• Air quality classification (Good/Moderate/Unhealthy/Hazardous)
• Health recommendations for general population
• Specific warnings for sensitive groups
• Comparison with WHO and EPA standards

Example Response:

Air quality in Beijing (lat: 39.90, lon: 116.41):
PM2.5: 45.3 μg/m³ (Unhealthy for Sensitive Groups)
PM10: 89.2 μg/m³ (Moderate)
Ozone (O3): 52.1 μg/m³
Nitrogen Dioxide (NO2): 38.5 μg/m³
Carbon Monoxide (CO): 420.0 μg/m³

Health Advice: Sensitive groups (children, elderly, people with respiratory conditions)
should limit outdoor activities.

get_air_quality_details

Get detailed air quality information as structured JSON data for programmatic analysis.

Parameters:

• city (string, required): The name of the city (English names only)
• variables (array, optional): Specific pollutants to retrieve (same options as get_air_quality)

Returns: Raw JSON data with complete air quality metrics and hourly data

get_current_datetime

Retrieves the current time in a specified timezone.

Parameters:

• timezone_name (string, required): IANA timezone name (e.g., 'America/New_York', 'Europe/London'). Use UTC if no timezone provided.

Returns: Current date and time in the specified timezone

Example:

{
  "timezone": "America/New_York",
  "current_time": "2024-01-15T14:30:00-05:00",
  "utc_time": "2024-01-15T19:30:00Z"
}

get_timezone_info

Get information about a specific timezone.

Parameters:

• timezone_name (string, required): IANA timezone name

Returns: Timezone details including offset and DST information

convert_time

Convert time from one timezone to another.

Parameters:

• time_str (string, required): Time to convert (ISO format)
• from_timezone (string, required): Source timezone
• to_timezone (string, required): Target timezone

Returns: Converted time in target timezone

MCP Client Usage Examples

Using with Claude Desktop or MCP Clients

weather
get_current_weather

{
  "city": "Tokyo"
}

weather
get_weather_by_datetime_range

{
  "city": "Paris",
  "start_date": "2024-01-01",
  "end_date": "2024-01-07"
}

weather
get_current_datetime

{
  "timezone_name": "Europe/Paris"
}

weather
get_air_quality

{
  "city": "Beijing"
}

weather
get_air_quality

{
  "city": "Los Angeles",
  "variables": ["pm2_5", "pm10", "ozone"]
}

Web Integration (SSE Mode)

When running in SSE mode, you can integrate the weather server with web applications:

HTML/JavaScript Example

    Weather MCP Client

    
    
        // Connect to SSE endpoint
        const eventSource = new EventSource('http://localhost:8080/sse');

        eventSource.onmessage = function(event) {
            const data = JSON.parse(event.data);
            document.getElementById('weather-data').innerHTML = JSON.stringify(data, null, 2);
        };

        // Function to get weather
        async function getWeather(city) {
            const response = await fetch('http://localhost:8080/messages/', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: JSON.stringify({
                    jsonrpc: '2.0',
                    method: 'tools/call',
                    params: {
                        name: 'get_current_weather',
                        arguments: { city: city }
                    },
                    id: 1
                })
            });
        }

        // Example: Get weather for Tokyo
        getWeather('Tokyo');

        // Example: Get air quality
        async function getAirQuality(city) {
            const response = await fetch('http://localhost:8080/messages/', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: JSON.stringify({
                    jsonrpc: '2.0',
                    method: 'tools/call',
                    params: {
                        name: 'get_air_quality',
                        arguments: { city: city }
                    },
                    id: 2
                })
            });
        }

        getAirQuality('Beijing');
    

Docker Deployment

The project is available as a Docker image on Docker Hub and includes configurations for easy deployment.

Quick Start with Docker Hub

Pull and run the latest image directly from Docker Hub:

# Pull the latest image
docker pull dog830228/mcp_weather_server:latest

# Run in stdio mode (default)
docker run dog830228/mcp_weather_server:latest

# Run in SSE mode on port 8080
docker run -p 8080:8080 dog830228/mcp_weather_server:latest --mode sse

# Run in streamable-http mode on port 8080
docker run -p 8080:8080 dog830228/mcp_weather_server:latest --mode streamable-http

# Pull a specific version
docker pull dog830228/mcp_weather_server:0.5.0
docker run -p 8080:8080 dog830228/mcp_weather_server:0.5.0 --mode sse

Available Docker Images

• Latest: dog830228/mcp_weather_server:latest
• Versioned: dog830228/mcp_weather_server: (e.g., 0.5.0)

Images are automatically built and published when new versions are released.

Building from Source

If you want to build the Docker image yourself:

St

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: isdaniel
• Source: isdaniel/mcpweather_server
• License: Apache-2.0

Install and usage instructions live in the source repository linked above.