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Weather API MCP Server

by TuanKiri

A lightweight Model Context Protocol (MCP) server that enables AI assistants like Claude to retrieve and interpret real-time weather data. It provides a tool to get the current weather for a city.

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What is Weather API MCP Server?

The Weather API MCP Server is a lightweight server designed to provide real-time weather data to AI assistants like Claude using the Model Context Protocol (MCP).

How to use Weather API MCP Server?

The server can be used locally or remotely with Claude Desktop by configuring the mcpServers settings. It can also be built from source using go or deployed using Docker. You'll need a WeatherAPI API key.

Key features of Weather API MCP Server

  • Real-time weather data retrieval

  • MCP compatibility

  • Local and remote deployment options

  • Docker support

  • Simple API for weather information

Use cases of Weather API MCP Server

  • Enhancing AI assistant capabilities with weather information

  • Providing context-aware weather data for AI models

  • Integrating weather data into conversational AI applications

  • Building weather-aware applications with AI

  • Testing and development of AI models requiring weather data

FAQ from Weather API MCP Server

What is an MCP server?

MCP stands for Model Context Protocol. It allows AI models to access external data and tools.

Where do I get a WeatherAPI API key?

You can obtain an API key from your personal account on WeatherAPI (weatherapi.com/my/).

How do I run the server locally?

You can build the binary from source using go build and then configure Claude Desktop to use the local server.

How do I deploy the server using Docker?

You can build a Docker image using docker build and then run the container, providing your WeatherAPI API key as an environment variable.

What tool is available?

The server provides the current_weather tool to get the current weather for a specific city.