关于
This Java-based tool demonstrates a Model Context Protocol (MCP) server implementation, specifically focusing on a weather service. It integrates with a fast-agent, leveraging the Model Context Protocol to determine which tools to call based on user prompts. The demo showcases how an agent can use Claude Sonnet 3.7, fetch lat/long data via web search and then utilize this weather service via HTTP SSE to summarize forecasts and determine the warmest city. It avoids heavy reliance on Spring, offering a lightweight solution for developers interested in MCP implementations.
主要功能
- Implements a Weather MCP Server accessible via HTTP SSE transport.
- Includes a functional example agent that fetches weather data for multiple cities.
- Integrates with fast-agent for intelligent tool selection based on context.
- Provides a simple and working demo of the Model Context Protocol java-sdk
- Uses Claude Sonnet 3.7 for LLM processing.
- 1 GitHub stars
使用案例
- Prototyping and testing MCP integrations with Java.
- Building AI agents that can access and utilize external services through MCP.
- Demonstrating the use of HTTP SSE transport for MCP servers.
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