mcpField
A
AI-Verse MCP Server

AI-Verse MCP Server

Local
github.com/anselorvilleFiles & Storage0Updated 79w ago

About AI-Verse MCP Server

AI-Verse MCP Server is a Spring AI-based MCP server registry for managing and providing multiple AI services. It also offers local file access and RESTful endpoints for listing TXT files and retrieving file contents.

Key features

  1. 01Local file system access
  2. 02RESTful API endpoints
  3. 03TXT file listing
  4. 04File content retrieval
  5. 05Spring AI integration

Use cases

  1. 01List TXT files in the shared directory
  2. 02Retrieve content from a file path
  3. 03Provide REST endpoints for file operations

MCP support

The project describes itself as an MCP server registry, but the README does not specify which capabilities it exposes to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AI-Verse MCP Server

这是一个基于Spring-AI构建的MCP Server注册机,用于管理和提供多个AI服务。

功能特性

  • 支持本地文件系统访问
  • 提供RESTful API接口
  • 集成Spring AI功能

系统要求

  • Java 17+
  • Maven 3.6+
  • Spring Boot 3.2.3
  • Spring AI 0.8.1

配置说明

  1. 设置环境变量:

    export OPENAI_API_KEY=your_api_key_here
    
  2. 确保共享文件目录存在:

    mkdir -p /private/data/shared_files
    

API接口

获取TXT文件列表
GET /api/files/txt
获取文件内容
GET /api/files/content/{filePath}

构建和运行

mvn clean package
java -jar target/mcp-server-1.0-SNAPSHOT.jar

注意事项

  • 请确保有适当的文件系统权限
  • 需要配置有效的OpenAI API密钥

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.