Weather Bridge MCP
A Spring Boot implementation of the Model Context Protocol (MCP) that enables AI agents like GitHub Copilot to access weather data. Demonstrates building a custom MCP server that connects AI models to weather APIs through standardised tools, complete with VS Code integration examples.
Overview
What is Weather Bridge MCP?
Weather Bridge MCP is a Spring Boot implementation of the Model Context Protocol (MCP) that allows AI agents, such as GitHub Copilot, to access weather data through a custom MCP server.
How to use Weather Bridge MCP?
To use Weather Bridge MCP, set up the Spring Boot application, configure it with your OpenWeatherMap API key, and run the server. Then, integrate it with VS Code to utilize the MCP tools in GitHub Copilot.
Key features of Weather Bridge MCP?
- Custom MCP server for weather data access
- Integration with AI agents like GitHub Copilot
- Standardized tools for querying weather conditions and forecasts
- VS Code integration examples for easy setup
Use cases of Weather Bridge MCP?
- Enabling AI agents to answer weather-related queries.
- Providing real-time weather updates and forecasts.
- Assisting developers in building AI applications that require weather data.
FAQ from Weather Bridge MCP?
- Can Weather Bridge MCP be used with any AI agent?
Yes! It is designed to work with AI agents that support the Model Context Protocol.
- Is there a cost associated with using the weather API?
The usage of the OpenWeatherMap API may incur costs depending on the plan you choose.
- How do I test the integration with GitHub Copilot?
After running the server, activate GitHub Copilot's agent mode and use the MCP tools to ask weather-related questions.
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