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Weather Bridge MCP

by mm-camelcase

A Spring Boot implementation of the Model Context Protocol (MCP) that enables AI agents like GitHub Copilot to access weather data. It demonstrates building a custom MCP server that connects AI models to weather APIs through standardised tools.

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What is Weather Bridge MCP?

This is a Spring Boot application that acts as a Model Context Protocol (MCP) server, providing AI agents like GitHub Copilot with access to weather data. It bridges the gap between AI models and weather APIs using standardized tools.

How to use Weather Bridge MCP?

To use this server, you need to set up a Spring Boot project, add the necessary MCP dependencies, implement a Weather API client, configure the MCP server, implement MCP tools, create model classes for weather data, configure VS Code for integration, and then run the application. You can then use GitHub Copilot in agent mode to ask weather-related questions.

Key features of Weather Bridge MCP

  • Exposes weather data to AI agents

  • Uses Spring Boot for easy setup and deployment

  • Implements the Model Context Protocol (MCP)

  • Provides example VS Code integration

  • Supports retrieving current weather and forecasts

Use cases of Weather Bridge MCP

  • Allowing AI agents to answer weather-related questions

  • Integrating weather data into AI-powered applications

  • Building custom MCP servers for specific data sources

  • Testing and experimenting with AI agent integrations

  • Providing weather information to GitHub Copilot in agent mode

FAQ from Weather Bridge MCP

What is MCP?

MCP stands for Model Context Protocol. It's a standard protocol for connecting AI models to external data sources and tools.

What weather API does this use?

The example uses OpenWeatherMap, but you can adapt it to use any weather API.

Do I need an API key?

Yes, you'll need an API key from your chosen weather API provider.

How do I configure VS Code?

You need to create a .vscode/mcp.json file with the server details, including the URL of the MCP server.

Can I use this with other AI agents besides GitHub Copilot?

Yes, as long as the AI agent supports the Model Context Protocol (MCP).