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Cursor MCP Server

by johnneerdael
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TypeScript
Hybrid

游标 MCP（模型上下文协议）

Cursor MCP 是 Claude 桌面应用程序和 Cursor 编辑器之间的桥梁，可实现无缝的 AI 自动化和多实例管理。它是更广泛的模型上下文协议 (MCP) 生态系统的一部分，允许 Cursor 通过标准化接口与各种 AI 模型和服务进行交互。

概述

🤖 AI 集成

  • 与 Claude 的桌面应用程序直接集成

  • 能够利用其他与 MCP 兼容的 AI 服务

  • AI 与编辑之间的实时上下文共享

  • 人工智能驱动的自动化和代码生成

🔌 MCP 协议支持

  • 与AI模型的标准化沟通

  • 可扩展插件系统，用于附加 MCP

  • 上下文感知命令执行

  • 基于令牌的安全身份验证

🖥️ 跨平台窗口管理

  • 无缝管理跨操作系统的 Cursor 编辑器窗口

  • 通过编程聚焦、最小化、恢复和排列窗口

  • 跟踪窗口状态变化和位置

  • 同时处理多个 Cursor 实例

⌨️ 输入自动化

  • AI 驱动的键盘输入支持：

    • 代码生成和插入

    • 重构操作

    • 上下文感知补全

    • 多光标编辑

  • 智能鼠标自动化包括：

    • 智能选择

    • 上下文菜单操作

    • 人工智能导航

🔄 流程管理

  • AI 协调的实例管理

  • 智能工作空间组织

  • 自动上下文保存

  • 智能会话恢复

Related MCP server: Portkey MCP Server

MCP 集成

Claude 桌面集成

import { ClaudeMCP } from 'cursor-mcp/claude'

// Connect to Claude's desktop app
const claude = await ClaudeMCP.connect()

// Execute AI-powered operations
await claude.generateCode({
    prompt: 'Create a React component',
    context: currentFileContent,
    language: 'typescript'
})

// Get AI suggestions
const suggestions = await claude.getSuggestions({
    code: selectedText,
    type: 'refactor'
})

使用多个 MCP

import { MCPRegistry } from 'cursor-mcp/registry'

// Register available MCPs
MCPRegistry.register('claude', ClaudeMCP)
MCPRegistry.register('github-copilot', CopilotMCP)

// Use different AI services
const claude = await MCPRegistry.get('claude')
const copilot = await MCPRegistry.get('github-copilot')

// Compare suggestions
const claudeSuggestions = await claude.getSuggestions(context)
const copilotSuggestions = await copilot.getSuggestions(context)

自定义 MCP 集成

import { BaseMCP, MCPProvider } from 'cursor-mcp/core'

class CustomMCP extends BaseMCP implements MCPProvider {
    async connect() {
        // Custom connection logic
    }

    async generateSuggestions(context: CodeContext) {
        // Custom AI integration
    }
}

// Register custom MCP
MCPRegistry.register('custom-ai', CustomMCP)

配置

该工具可以通过环境变量或配置文件进行配置：

  • Windows： %LOCALAPPDATA%\cursor-mcp\config\config.json

  • macOS： ~/Library/Application Support/cursor-mcp/config/config.json

  • Linux： ~/.config/cursor-mcp/config.json

示例配置：

{
    "mcp": {
        "claude": {
            "enabled": true,
            "apiKey": "${CLAUDE_API_KEY}",
            "contextWindow": 100000
        },
        "providers": {
            "github-copilot": {
                "enabled": true,
                "auth": "${GITHUB_TOKEN}"
            }
        }
    },
    "autoStart": true,
    "maxInstances": 4,
    "windowArrangement": "grid",
    "logging": {
        "level": "info",
        "file": "cursor-mcp.log"
    }
}

安装

视窗

# Run as Administrator
Invoke-WebRequest -Uri "https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-windows.zip" -OutFile "cursor-mcp.zip"
Expand-Archive -Path "cursor-mcp.zip" -DestinationPath "."
.\windows.ps1

macOS

# Run with sudo
curl -L "https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-macos.zip" -o "cursor-mcp.zip"
unzip cursor-mcp.zip
sudo ./macos.sh

Linux

# Run with sudo
curl -L "https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-linux.zip" -o "cursor-mcp.zip"
unzip cursor-mcp.zip
sudo ./linux.sh

用法

基本用法

import { CursorInstanceManager } from 'cursor-mcp'

// Get the instance manager
const manager = CursorInstanceManager.getInstance()

// Start a new Cursor instance
await manager.startNewInstance()

// Get all running instances
const instances = await manager.getRunningInstances()

// Focus a specific instance
await manager.focusInstance(instances[0])

// Close all instances
await manager.closeAllInstances()

窗口管理

import { WindowManager } from 'cursor-mcp'

const windowManager = WindowManager.getInstance()

// Find all Cursor windows
const windows = await windowManager.findCursorWindows()

// Focus a window
await windowManager.focusWindow(windows[0])

// Arrange windows side by side
await windowManager.arrangeWindows(windows, 'sideBySide')

// Minimize all windows
for (const window of windows) {
    await windowManager.minimizeWindow(window)
}

输入自动化

import { InputAutomationService } from 'cursor-mcp'

const inputService = InputAutomationService.getInstance()

// Type text
await inputService.typeText('Hello, World!')

// Send keyboard shortcuts
if (process.platform === 'darwin') {
    await inputService.sendKeys(['command', 'c'])
} else {
    await inputService.sendKeys(['control', 'c'])
}

// Mouse operations
await inputService.moveMouse(100, 100)
await inputService.mouseClick('left')
await inputService.mouseDrag(100, 100, 200, 200)

工作原理

桥梁建筑

此工具充当 Cursor 和 MCP 服务器之间的中间件层：

  1. 光标集成：

    • 监视 Cursor 的文件系统事件

    • 捕获编辑器状态和上下文

    • 将响应注入编辑器

    • 管理窗口和流程自动化

  2. MCP 协议转换：

    • 将 Cursor 的内部事件转换为 MCP 协议消息

    • 将 MCP 响应转换为与 Cursor 兼容的操作

    • 维护会话状态和上下文

    • 处理身份验证和安全

  3. 服务器通信：

    • 连接到 Claude 的桌面应用程序 MCP 服务器

    • 将请求路由到适当的 AI 提供商

    • 管理与多个 MCP 的并发连接

    • 处理回退和错误恢复

graph LR
    A[Cursor Editor] <--> B[Cursor MCP Bridge]
    B <--> C[Claude Desktop MCP]
    B <--> D[GitHub Copilot MCP]
    B <--> E[Custom AI MCPs]

示例工作流程

  1. 代码完成请求：

    // 1. Cursor Event (File Change)
// When user types in Cursor:
function calculateTotal(items) {
  // Calculate the total price of items|  <-- cursor position

// 2. Bridge Translation
const event = {
  type: 'completion_request',
  context: {
    file: 'shopping-cart.ts',
    line: 2,
    prefix: '// Calculate the total price of items',
    language: 'typescript',
    cursor_position: 43
  }
}

// 3. MCP Protocol Message
await mcpServer.call('generate_completion', {
  prompt: event.context,
  max_tokens: 150,
  temperature: 0.7
})

// 4. Response Translation
// Bridge converts MCP response:
const response = `return items.reduce((total, item) => {
  return total + (item.price * item.quantity);
}, 0);`

// 5. Cursor Integration
// Bridge injects the code at cursor position

  2. 代码重构：

    // 1. Cursor Event (Command)
// User selects code and triggers refactor command
const oldCode = `
  if (user.age >= 18) {
    if (user.hasLicense) {
      if (car.isAvailable) {
        rentCar(user, car);
      }
    }
  }
`

// 2. Bridge Translation
const event = {
  type: 'refactor_request',
  context: {
    selection: oldCode,
    command: 'simplify_nesting'
  }
}

// 3. MCP Protocol Message
await mcpServer.call('refactor_code', {
  code: event.context.selection,
  style: 'simplified',
  maintain_logic: true
})

// 4. Response Translation
const response = `
  const canRentCar = user.age >= 18 
    && user.hasLicense 
    && car.isAvailable;
  
  if (canRentCar) {
    rentCar(user, car);
  }
`

// 5. Cursor Integration
// Bridge replaces selected code

  3. 多文件上下文：

    // 1. Cursor Event (File Dependencies)
// When user requests help with a component

// 2. Bridge Translation
const event = {
  type: 'context_request',
  files: {
    'UserProfile.tsx': '...',
    'types.ts': '...',
    'api.ts': '...'
  },
  focus_file: 'UserProfile.tsx'
}

// 3. MCP Protocol Message
await mcpServer.call('analyze_context', {
  files: event.files,
  primary_file: event.focus_file,
  analysis_type: 'component_dependencies'
})

// 4. Response Processing
// Bridge maintains context across requests

积分方法

  1. 文件系统监控：

    import { FileSystemWatcher } from 'cursor-mcp/watcher'

const watcher = new FileSystemWatcher({
  paths: ['/path/to/cursor/workspace'],
  events: ['change', 'create', 'delete']
})

watcher.on('change', async (event) => {
  const mcpMessage = await bridge.translateEvent(event)
  await mcpServer.send(mcpMessage)
})

  2. 窗口集成：

    import { CursorWindow } from 'cursor-mcp/window'

const window = new CursorWindow()

// Inject AI responses
await window.injectCode({
  position: cursorPosition,
  code: mcpResponse.code,
  animate: true  // Smooth typing animation
})

// Handle user interactions
window.onCommand('refactor', async (selection) => {
  const mcpMessage = await bridge.createRefactorRequest(selection)
  const response = await mcpServer.send(mcpMessage)
  await window.applyRefactoring(response)
})

  3. 上下文管理：

    import { ContextManager } from 'cursor-mcp/context'

const context = new ContextManager()

// Track file dependencies
await context.addFile('component.tsx')
await context.trackDependencies()

// Maintain conversation history
context.addMessage({
  role: 'user',
  content: 'Refactor this component'
})

// Send to MCP server
const response = await mcpServer.send({
  type: 'refactor',
  context: context.getFullContext()
})

安全

  • 基于令牌的安全 AI 服务身份验证

  • 加密通信渠道

  • 沙盒执行环境

  • 细粒度的权限控制

要求

视窗

  • Windows 10 或更高版本

  • Node.js 18 或更高版本

  • 安装的管理员权限

macOS

  • macOS 10.15 (Catalina) 或更高版本

  • Node.js 18 或更高版本

  • Xcode 命令行工具

  • 终端的辅助功能权限

Linux

  • X11显示服务器

  • Node.js 18 或更高版本

  • xdotool

  • libxtst-dev

  • libpng++-dev

  • 构建必需

发展

设置

# Clone the repository
git clone https://github.com/your-org/cursor-mcp.git
cd cursor-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Run tests
npm test

运行测试

# Run all tests
npm test

# Run specific test suite
npm test -- window-management

# Run with coverage
npm run test:coverage

贡献

欢迎大家贡献！详情请参阅我们的贡献指南。

执照

该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅LICENSE文件。

支持

致谢

This server cannot be installed

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security - not tested
A
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-
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