What are the prerequisites to run Spring AI MCP PoC?
You need Java 17+, Gradle 8.6+, and an OpenAI API key. Optionally, a running GitHub MCP server and a GitHub personal access token for enhanced features.
@shesadri
基本情報
Spring AI integration with GitHub MCP server and LLM model - Proof of Concept
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Spring AI MCP PoC is a proof-of-concept application that integrates the Spring AI framework with GitHub’s Model Context Protocol (MCP) server and OpenAI’s GPT models. It processes natural language prompts, enables function calling for GitHub operations, and provides a RESTful API for AI-powered interactions.
Clone the repository, set environment variables (OPENAI_API_KEY required; GITHUB_MCP_SERVER_URL and GITHUB_TOKEN optional), then build and run with ./gradlew build and ./gradlew bootRun. Use POST /api/v1/prompt to process prompts (JSON with "prompt" and "enableMcpTools" fields) and GET /api/v1/mcp/tools to list available MCP tools.
You need Java 17+, Gradle 8.6+, and an OpenAI API key. Optionally, a running GitHub MCP server and a GitHub personal access token for enhanced features.
Set the `GITHUB_MCP_SERVER_URL` environment variable or the `app.github.mcp.server.url` property in `application.yml`. The server must provide repository, issue, pull request, and code search endpoints.
The application still works but with limited GitHub integration. Basic prompt processing and AI responses will function without the MCP server.
`GET /api/v1/health` – health check, `POST /api/v1/prompt` – process an AI prompt, and `GET /api/v1/mcp/tools` – list available MCP tools.
Spring Boot 3.2.5, Spring AI 1.0.0-M1, OpenAI GPT-4, WebFlux, Jackson, and Gradle 8.6.
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