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
基本信息
Spring AI integration with GitHub MCP server and LLM model - Proof of Concept
工具列表暂未提供
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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