XAPIHub MCP Extension

XAPIHub MCP Extension

Integrates XAPIHub API services with the Cursor IDE to enable user authentication, real-time data fetching, and connection diagnostics. It allows developers to interact with their XAPIHub organization and manage user details directly through natural language commands.

Category
访问服务器

README

XAPIHub MCP Extension for Cursor

A Model Context Protocol (MCP) extension that integrates XAPIHub API with Cursor IDE, allowing developers to interact with XAPIHub services directly from their development environment.

Features

  • 🔐 User Authentication: Get current user details from XAPIHub
  • 🔗 API Integration: Direct connection to XAPIHub API endpoints
  • Real-time Data: Fetch live data from your XAPIHub organization
  • 🛠️ Developer Tools: Built-in connection testing and diagnostics

Installation

Prerequisites

  • Node.js 18+
  • Cursor IDE with MCP support
  • XAPIHub account and API token

Setup

  1. Clone and Install Dependencies

    git clone <your-repo-url>
    cd xapihub-mcp-extension
    npm install
    
  2. Configure Environment

    cp env.example .env
    

    Edit .env with your XAPIHub credentials:

    XAPIHUB_BASE_URL=https://api-dev.xapihub.io
    XAPIHUB_TOKEN=your_bearer_token_here
    
  3. Build the Extension

    npm run build
    
  4. Install in Cursor

    • Open Cursor IDE
    • Go to Extensions > Install from VSIX
    • Select the built extension package
    • Or configure MCP server manually (see below)

Manual MCP Server Configuration

If you prefer to run the MCP server directly, add this to your Cursor MCP configuration:

{
  "mcpServers": {
    "xapihub": {
      "command": "node",
      "args": ["path/to/your/dist/index.js"],
      "env": {
        "XAPIHUB_BASE_URL": "https://api-dev.xapihub.io",
        "XAPIHUB_TOKEN": "your_bearer_token_here"
      }
    }
  }
}

Available Tools

get_current_user

Retrieves current user details from XAPIHub API.

Example Response:

{
  "success": true,
  "message": "Current user details retrieved successfully",
  "user": {
    "id": "user_id",
    "username": "username",
    "email": "user@example.com",
    "fullName": "John Doe",
    "organization": "org_id",
    "organizationType": "PREMIUM",
    "userType": "ORGANIZATION_OWNER",
    "userOrganizationAssociation": "OWNER",
    "organizationVisibility": "PUBLIC",
    "emailVerified": true,
    "readOnlyOrganization": false,
    "projectCount": 5,
    "userScopes": ""
  }
}

test_xapihub_connection

Tests connectivity to XAPIHub API.

Example Response:

{
  "success": true,
  "connected": true,
  "message": "Successfully connected to XAPIHub API"
}

Usage in Cursor

Once installed, you can use the XAPIHub tools in several ways:

  1. Command Palette:

    • Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (Mac)
    • Type "XAPIHub" to see available commands
  2. MCP Tools:

    • Use the tools directly in your code context
    • Ask Cursor to "Get my XAPIHub user details"
    • Request "Test XAPIHub connection"
  3. Chat Integration:

    • Ask Cursor: "What are my XAPIHub user details?"
    • Request: "Check if I'm connected to XAPIHub"

Development

Project Structure

src/
├── types/
│   └── xapihub.ts          # TypeScript type definitions
├── services/
│   └── xapihub-client.ts   # XAPIHub API client
├── server.ts               # MCP server implementation
└── index.ts                # Main entry point

Scripts

  • npm run build - Build TypeScript to JavaScript
  • npm run dev - Watch mode for development
  • npm run start - Start the MCP server
  • npm test - Run tests (when implemented)

Adding New Tools

  1. Define the tool in src/server.ts:

    {
      name: 'your_tool_name',
      description: 'Tool description',
      inputSchema: {
        type: 'object',
        properties: {
          // Define input parameters
        },
        required: [],
      },
    }
    
  2. Implement the handler:

    case 'your_tool_name':
      return await this.handleYourTool(args);
    
  3. Add the implementation method:

    private async handleYourTool(args: any) {
      // Implementation
    }
    

API Reference

The extension uses the XAPIHub REST API. Current endpoint:

  • GET /platform/1.0.0/users/current-user - Get current user details

Troubleshooting

Common Issues

  1. Authentication Error

    • Verify your XAPIHUB_TOKEN is correct and not expired
    • Check that the token has proper permissions
  2. Connection Failed

    • Ensure XAPIHUB_BASE_URL is correct
    • Check network connectivity
    • Verify API endpoint is accessible
  3. MCP Server Not Starting

    • Check Node.js version (18+ required)
    • Verify all dependencies are installed
    • Check console for error messages

Debug Mode

To enable debug logging, set environment variable:

DEBUG=xapihub:* npm run start

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

MIT License - see LICENSE file for details.

Support

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选