What runtime environment does it require?
Java 17+ and Maven 3.6+ are required, along with Spring Boot 3.2.3 and Spring AI 0.8.1.
AI-Verse MCP Server
@anselorville
基本信息
关于 AI-Verse MCP Server
暂无概览
AI-Verse MCP Server 配置
AI-Verse MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
概览
What is AI-Verse MCP Server?
AI-Verse MCP Server is a registrar for MCP (Model Context Protocol) servers built on Spring AI. It manages and provides access to multiple AI services through RESTful APIs, with support for local file system operations.
How to use AI-Verse MCP Server?
Set the OPENAI_API_KEY environment variable with a valid key, ensure the shared file directory /private/data/shared_files exists, then build with Maven (mvn clean package) and run the JAR (java -jar target/mcp-server-1.0-SNAPSHOT.jar). REST endpoints are available at /api/files/txt and /api/files/content/{filePath}.
Key features of AI-Verse MCP Server
- Local file system access (read TXT files)
- RESTful API endpoints for file operations
- Spring AI integration for AI service management
- Maven-based build with Java 17+ support
- Environment-based configuration (OpenAI API key)
Use cases of AI-Verse MCP Server
- Serving AI-generated content stored in local files via REST
- Providing a file-based data source for MCP clients
- Managing multiple AI service endpoints through a single registry
- Enabling Spring AI applications to expose file system data
常见问题
Where are the files stored?
Files are read from the directory `/private/data/shared_files`. The directory must be created and accessible before starting the server.
How do I authenticate API requests?
The server expects an `OPENAI_API_KEY` environment variable to be set. No further authentication details are provided in the README.
Can I access files other than TXT?
The exposed endpoints are specifically for TXT file listings and content retrieval. Other file types are not mentioned.
Is this server stateless?
The README does not specify statefulness; file contents are read on demand from the local file system.
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