关于
This project showcases how to integrate Spring AI's support for MCP (Model Context Protocol) within Spring Boot applications, covering both server-side and client-side implementations. It provides a practical example of using Spring AI to build MCP servers that offer their capabilities to LLMs, using services like Geocoder and Timezone to respond to prompts for geographical data.
主要功能
- Integrates Spring AI with MCP for streamlined contextual AI interactions.
- Offers a console interface for interacting with an LLM using MCP clients.
- Provides Spring Boot starters for MCP client and server implementations.
- 2 GitHub stars
- Includes Geocoder and Timezone services as example MCP-enabled tools.
- Uses Llama3.2 via Ollama to support the use of TOOLS within the model.
使用案例
- Demonstrating MCP client-server communication within a Spring Boot environment.
- Building AI assistants that leverage external data sources through MCP.
- Integrating geographical information services into LLM-based applications.
Sponsored