What is Spring AI MCP PoC?
Spring AI MCP PoC is a Proof of Concept project that demonstrates the integration of the Spring AI framework with GitHub's Model Context Protocol (MCP) server and OpenAI's LLM models. It showcases how to build an AI-powered application that processes natural language prompts and interacts with GitHub functionalities.
How to use Spring AI MCP PoC?
To use this project, clone the repository, configure the necessary environment variables, and run the application. You can then send prompts to the API to receive AI-generated responses.
Key features of Spring AI MCP PoC?
- Integration with Spring AI for LLM interactions
- Support for GitHub MCP for enhanced functionality
- Function calling capabilities for GitHub operations
- RESTful API for easy prompt processing
- Configurable for different environments
- Robust error handling and logging
Use cases of Spring AI MCP PoC?
- Processing natural language queries related to GitHub repositories.
- Automating GitHub operations based on user prompts.
- Leveraging AI to provide intelligent responses in software development workflows.
FAQ from Spring AI MCP PoC?
- What are the prerequisites for running this project?
You need Java 17 or higher, Gradle 8.6+, and an OpenAI API key. Optionally, a GitHub MCP server can enhance functionality.
- Is there a demo available?
Yes, you can test the API endpoints after setting up the application locally.
- Can I contribute to this project?
Yes! You can fork the repository, create a feature branch, and submit a pull request.