Openweathermap MCP

Connect Openweathermap to your AI agents using the Model Context Protocol (MCP), enabling seamless integration with openweathermap.org's services through standardized interfaces.

  • openweathermap.org

    Retrieve Current Weather from OpenWeatherMap

    Retrieve the current weather for a specific location using OpenWeatherMap
    openweathermap
    weather
  • openweathermap.org

    Retrieve Weather Forecast from OpenWeatherMap

    Retrieve the weather forecast for a specific location using OpenWeatherMap
    openweathermap
    weather
    forecast
  • openweathermap.org

    Get Current Weather

    Get current weather conditions for a specific location by city name, coordinates, or zip code
    weather
    openweathermap
    current
  • openweathermap.org

    Get Weather Forecast

    Get 5-day weather forecast with 3-hour intervals for a specific location
    weather
    openweathermap
    forecast
  • openweathermap.org

    Get Air Pollution Data

    Get current air pollution data including air quality index and pollutant concentrations
    weather
    openweathermap
    air-quality
    pollution
  • openweathermap.org

    Geocode Location

    Convert city name to geographic coordinates (latitude and longitude)
    weather
    openweathermap
    geocoding
  • openweathermap.org

    Reverse Geocode

    Convert geographic coordinates (latitude and longitude) to location name
    weather
    openweathermap
    geocoding
    reverse
  • What is Openweathermap MCP?

    The Model Context Protocol (MCP) is an open standard that provides a unified way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every service, MCP provides a standardized interface that allows AI models to discover available tools, understand their capabilities, and execute them safely and securely.

    With Openweathermap MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Openweathermap's available capabilities through the MCP server
    • Standardized integration: Use a consistent protocol instead of learning platform-specific APIs
    • Real-time capabilities: Tools are loaded and executed on-demand during conversations
    • Secure execution: Maintain proper authentication and isolation through ChatBotKit's MCP implementation
    • No custom coding: Leverage Openweathermap's functionality without writing integration code

    How Openweathermap MCP Works

    ChatBotKit's MCP action provides a powerful way to dynamically extend your AI agent's capabilities by loading tools from Openweathermap's MCP server.

    Connect to MCP Server

    ChatBotKit establishes a connection to Openweathermap API endpoints, initiating secure communication.

    Discover Available Tools

    The system automatically discovers all available Openweathermap tools and their schemas through the MCP protocol.

    Load Tool Definitions

    Tool definitions are loaded into your conversation context, making them available to your AI agent.

    Execute Securely

    Your AI uses these tools as if they were native abilities, with secure execution and proper authentication.