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Cursor MCP (Model Context Protocol)

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Cursor MCP (Model Context Protocol)

Cursor MCP is a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management. It's part of the broader Model Context Protocol (MCP) ecosystem, allowing Cursor to interact with various AI models and services through standardized interfaces.

Overview

🤖 AI Integration

  • Direct integration with Claude's desktop application
  • Ability to leverage other MCP-compatible AI services
  • Real-time context sharing between AI and editor
  • AI-powered automation and code generation

🔌 MCP Protocol Support

  • Standardized communication with AI models
  • Extensible plugin system for additional MCPs
  • Context-aware command execution
  • Secure token-based authentication

🖥️ Cross-Platform Window Management

  • Seamlessly manage Cursor editor windows across operating systems
  • Focus, minimize, restore, and arrange windows programmatically
  • Track window state changes and positions
  • Handle multiple Cursor instances simultaneously

⌨️ Input Automation

  • AI-driven keyboard input with support for:
    • Code generation and insertion
    • Refactoring operations
    • Context-aware completions
    • Multi-cursor editing
  • Intelligent mouse automation including:
    • Smart selection
    • Context-menu operations
    • AI-guided navigation

🔄 Process Management

  • AI-orchestrated instance management
  • Smart workspace organization
  • Automatic context preservation
  • Intelligent session recovery

MCP Integration

Claude Desktop Integration

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'
})

Using Multiple MCPs

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)

Custom MCP Integration

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)

Configuration

The tool can be configured through environment variables or a config file at:

  • Windows: %LOCALAPPDATA%\cursor-mcp\config\config.json
  • macOS: ~/Library/Application Support/cursor-mcp/config/config.json
  • Linux: ~/.config/cursor-mcp/config.json

Example configuration:

{
    "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"
    }
}

Installation

Windows

# 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

Usage

Basic Usage

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()

Window Management

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)
}

Input Automation

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)

How It Works

Bridge Architecture

This tool acts as a middleware layer between Cursor and MCP servers:

  1. Cursor Integration:

    • Monitors Cursor's file system events
    • Captures editor state and context
    • Injects responses back into the editor
    • Manages window and process automation

  2. MCP Protocol Translation:

    • Translates Cursor's internal events into MCP protocol messages
    • Converts MCP responses into Cursor-compatible actions
    • Maintains session state and context
    • Handles authentication and security

  3. Server Communication:

    • Connects to Claude's desktop app MCP server
    • Routes requests to appropriate AI providers
    • Manages concurrent connections to multiple MCPs
    • Handles fallbacks and error recovery
graph LR
    A[Cursor Editor] <--> B[Cursor MCP Bridge]
    B <--> C[Claude Desktop MCP]
    B <--> D[GitHub Copilot MCP]
    B <--> E[Custom AI MCPs]

Example Workflow

  1. Code Completion Request:

    // 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. Code Refactoring:

    // 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. Multi-File Context:

    // 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

Integration Methods

  1. File System Monitoring:

    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. Window Integration:

    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. Context Management:

    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()
})

Security

  • Secure token-based authentication for AI services
  • Encrypted communication channels
  • Sandboxed execution environment
  • Fine-grained permission controls

Requirements

Windows

  • Windows 10 or later
  • Node.js 18 or later
  • Administrator privileges for installation

macOS

  • macOS 10.15 (Catalina) or later
  • Node.js 18 or later
  • Xcode Command Line Tools
  • Accessibility permissions for Terminal

Linux

  • X11 display server
  • Node.js 18 or later
  • xdotool
  • libxtst-dev
  • libpng++-dev
  • build-essential

Development

Setup

# 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

Running Tests

# Run all tests
npm test

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

# Run with coverage
npm run test:coverage

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

Acknowledgments

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