What does Weather Bridge MCP do?
It acts as a bridge between AI agents (like GitHub Copilot) and weather APIs, exposing weather data through standard MCP tools.
@mm-camelcase
基本情報
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 exam
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A Spring Boot implementation of the Model Context Protocol (MCP) that enables AI agents like GitHub Copilot to access weather data. It connects AI models to weather APIs through standardized MCP tools, complete with VS Code integration examples.
Obtain an API key from a weather service, add it to application.properties, build and run the Spring Boot application. Then configure VS Code with the provided mcp.json and use GitHub Copilot agent mode to ask weather-related questions.
/mcp/sseIt acts as a bridge between AI agents (like GitHub Copilot) and weather APIs, exposing weather data through standard MCP tools.
The server requires Java, Spring Boot, Spring AI MCP dependencies, and an API key from a weather service (e.g., OpenWeatherMap). The README uses Maven and Lombok.
The server uses SSE (Server-Sent Events) transport on the `/mcp/sse` endpoint, configured via `HttpServletSseServerTransportProvider`.
Run the server, configure VS Code with the provided `mcp.json`, activate GitHub Copilot agent mode, and ask questions like "What's the current weather in New York?".
The server calls an external weather API (e.g., OpenWeatherMap) whose base URL and API key are configured in `application.properties`.
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