[{"_1":2,"_421":-5,"_422":-5},"loaderData",{"_3":4,"_22":23,"_247":248},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"bot","id",23446952,"membership","referenceId","019a5a4d-61d1-703c-9553-063a91322bdb","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_67":-5,"_68":26,"_27":69,"_163":164,"_246":143},"availableLocales",[26,39,46,53,60],{"_27":28,"_35":36,"_37":38},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","Acts as a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management across platforms with standardized communication and secure token-based authentication.","displayName","Cursor MCP Server","readme","# Cursor MCP (Model Context Protocol)\n\nCursor 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.\n\n## Overview\n\n### 🤖 AI Integration\n- Direct integration with Claude's desktop application\n- Ability to leverage other MCP-compatible AI services\n- Real-time context sharing between AI and editor\n- AI-powered automation and code generation\n\n### 🔌 MCP Protocol Support\n- Standardized communication with AI models\n- Extensible plugin system for additional MCPs\n- Context-aware command execution\n- Secure token-based authentication\n\n### 🖥️ Cross-Platform Window Management\n- Seamlessly manage Cursor editor windows across operating systems\n- Focus, minimize, restore, and arrange windows programmatically\n- Track window state changes and positions\n- Handle multiple Cursor instances simultaneously\n\n### ⌨️ Input Automation\n- AI-driven keyboard input with support for:\n - Code generation and insertion\n - Refactoring operations\n - Context-aware completions\n - Multi-cursor editing\n- Intelligent mouse automation including:\n - Smart selection\n - Context-menu operations\n - AI-guided navigation\n\n### 🔄 Process Management\n- AI-orchestrated instance management\n- Smart workspace organization\n- Automatic context preservation\n- Intelligent session recovery\n\n## MCP Integration\n\n### Claude Desktop Integration\n```typescript\nimport { ClaudeMCP } from 'cursor-mcp/claude'\n\n// Connect to Claude's desktop app\nconst claude = await ClaudeMCP.connect()\n\n// Execute AI-powered operations\nawait claude.generateCode({\n prompt: 'Create a React component',\n context: currentFileContent,\n language: 'typescript'\n})\n\n// Get AI suggestions\nconst suggestions = await claude.getSuggestions({\n code: selectedText,\n type: 'refactor'\n})\n```\n\n### Using Multiple MCPs\n```typescript\nimport { MCPRegistry } from 'cursor-mcp/registry'\n\n// Register available MCPs\nMCPRegistry.register('claude', ClaudeMCP)\nMCPRegistry.register('github-copilot', CopilotMCP)\n\n// Use different AI services\nconst claude = await MCPRegistry.get('claude')\nconst copilot = await MCPRegistry.get('github-copilot')\n\n// Compare suggestions\nconst claudeSuggestions = await claude.getSuggestions(context)\nconst copilotSuggestions = await copilot.getSuggestions(context)\n```\n\n### Custom MCP Integration\n```typescript\nimport { BaseMCP, MCPProvider } from 'cursor-mcp/core'\n\nclass CustomMCP extends BaseMCP implements MCPProvider {\n async connect() {\n // Custom connection logic\n }\n\n async generateSuggestions(context: CodeContext) {\n // Custom AI integration\n }\n}\n\n// Register custom MCP\nMCPRegistry.register('custom-ai', CustomMCP)\n```\n\n## Configuration\n\nThe tool can be configured through environment variables or a config file at:\n- Windows: `%LOCALAPPDATA%\\cursor-mcp\\config\\config.json`\n- macOS: `~/Library/Application Support/cursor-mcp/config/config.json`\n- Linux: `~/.config/cursor-mcp/config.json`\n\nExample configuration:\n```json\n{\n \"mcp\": {\n \"claude\": {\n \"enabled\": true,\n \"apiKey\": \"${CLAUDE_API_KEY}\",\n \"contextWindow\": 100000\n },\n \"providers\": {\n \"github-copilot\": {\n \"enabled\": true,\n \"auth\": \"${GITHUB_TOKEN}\"\n }\n }\n },\n \"autoStart\": true,\n \"maxInstances\": 4,\n \"windowArrangement\": \"grid\",\n \"logging\": {\n \"level\": \"info\",\n \"file\": \"cursor-mcp.log\"\n }\n}\n```\n\n## Installation\n\n### Windows\n```powershell\n# Run as Administrator\nInvoke-WebRequest -Uri \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-windows.zip\" -OutFile \"cursor-mcp.zip\"\nExpand-Archive -Path \"cursor-mcp.zip\" -DestinationPath \".\"\n.\\windows.ps1\n```\n\n### macOS\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-macos.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./macos.sh\n```\n\n### Linux\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-linux.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./linux.sh\n```\n\n## Usage\n\n### Basic Usage\n```typescript\nimport { CursorInstanceManager } from 'cursor-mcp'\n\n// Get the instance manager\nconst manager = CursorInstanceManager.getInstance()\n\n// Start a new Cursor instance\nawait manager.startNewInstance()\n\n// Get all running instances\nconst instances = await manager.getRunningInstances()\n\n// Focus a specific instance\nawait manager.focusInstance(instances[0])\n\n// Close all instances\nawait manager.closeAllInstances()\n```\n\n### Window Management\n```typescript\nimport { WindowManager } from 'cursor-mcp'\n\nconst windowManager = WindowManager.getInstance()\n\n// Find all Cursor windows\nconst windows = await windowManager.findCursorWindows()\n\n// Focus a window\nawait windowManager.focusWindow(windows[0])\n\n// Arrange windows side by side\nawait windowManager.arrangeWindows(windows, 'sideBySide')\n\n// Minimize all windows\nfor (const window of windows) {\n await windowManager.minimizeWindow(window)\n}\n```\n\n### Input Automation\n```typescript\nimport { InputAutomationService } from 'cursor-mcp'\n\nconst inputService = InputAutomationService.getInstance()\n\n// Type text\nawait inputService.typeText('Hello, World!')\n\n// Send keyboard shortcuts\nif (process.platform === 'darwin') {\n await inputService.sendKeys(['command', 'c'])\n} else {\n await inputService.sendKeys(['control', 'c'])\n}\n\n// Mouse operations\nawait inputService.moveMouse(100, 100)\nawait inputService.mouseClick('left')\nawait inputService.mouseDrag(100, 100, 200, 200)\n```\n\n## How It Works\n\n### Bridge Architecture\nThis tool acts as a middleware layer between Cursor and MCP servers:\n1. **Cursor Integration**:\n - Monitors Cursor's file system events\n - Captures editor state and context\n - Injects responses back into the editor\n - Manages window and process automation\n\n2. **MCP Protocol Translation**:\n - Translates Cursor's internal events into MCP protocol messages\n - Converts MCP responses into Cursor-compatible actions\n - Maintains session state and context\n - Handles authentication and security\n\n3. **Server Communication**:\n - Connects to Claude's desktop app MCP server\n - Routes requests to appropriate AI providers\n - Manages concurrent connections to multiple MCPs\n - Handles fallbacks and error recovery\n\n```mermaid\ngraph LR\n A[Cursor Editor] <--> B[Cursor MCP Bridge]\n B <--> C[Claude Desktop MCP]\n B <--> D[GitHub Copilot MCP]\n B <--> E[Custom AI MCPs]\n```\n\n### Example Workflow\n\n1. **Code Completion Request**:\n ```typescript\n // 1. Cursor Event (File Change)\n // When user types in Cursor:\n function calculateTotal(items) {\n // Calculate the total price of items| <-- cursor position\n \n // 2. Bridge Translation\n const event = {\n type: 'completion_request',\n context: {\n file: 'shopping-cart.ts',\n line: 2,\n prefix: '// Calculate the total price of items',\n language: 'typescript',\n cursor_position: 43\n }\n }\n \n // 3. MCP Protocol Message\n await mcpServer.call('generate_completion', {\n prompt: event.context,\n max_tokens: 150,\n temperature: 0.7\n })\n \n // 4. Response Translation\n // Bridge converts MCP response:\n const response = `return items.reduce((total, item) => {\n return total + (item.price * item.quantity);\n }, 0);`\n \n // 5. Cursor Integration\n // Bridge injects the code at cursor position\n ```\n\n2. **Code Refactoring**:\n ```typescript\n // 1. Cursor Event (Command)\n // User selects code and triggers refactor command\n const oldCode = `\n if (user.age >= 18) {\n if (user.hasLicense) {\n if (car.isAvailable) {\n rentCar(user, car);\n }\n }\n }\n `\n \n // 2. Bridge Translation\n const event = {\n type: 'refactor_request',\n context: {\n selection: oldCode,\n command: 'simplify_nesting'\n }\n }\n \n // 3. MCP Protocol Message\n await mcpServer.call('refactor_code', {\n code: event.context.selection,\n style: 'simplified',\n maintain_logic: true\n })\n \n // 4. Response Translation\n const response = `\n const canRentCar = user.age >= 18 \n && user.hasLicense \n && car.isAvailable;\n \n if (canRentCar) {\n rentCar(user, car);\n }\n `\n \n // 5. Cursor Integration\n // Bridge replaces selected code\n ```\n\n3. **Multi-File Context**:\n ```typescript\n // 1. Cursor Event (File Dependencies)\n // When user requests help with a component\n \n // 2. Bridge Translation\n const event = {\n type: 'context_request',\n files: {\n 'UserProfile.tsx': '...',\n 'types.ts': '...',\n 'api.ts': '...'\n },\n focus_file: 'UserProfile.tsx'\n }\n \n // 3. MCP Protocol Message\n await mcpServer.call('analyze_context', {\n files: event.files,\n primary_file: event.focus_file,\n analysis_type: 'component_dependencies'\n })\n \n // 4. Response Processing\n // Bridge maintains context across requests\n ```\n\n### Integration Methods\n\n1. **File System Monitoring**:\n ```typescript\n import { FileSystemWatcher } from 'cursor-mcp/watcher'\n \n const watcher = new FileSystemWatcher({\n paths: ['/path/to/cursor/workspace'],\n events: ['change', 'create', 'delete']\n })\n \n watcher.on('change', async (event) => {\n const mcpMessage = await bridge.translateEvent(event)\n await mcpServer.send(mcpMessage)\n })\n ```\n\n2. **Window Integration**:\n ```typescript\n import { CursorWindow } from 'cursor-mcp/window'\n \n const window = new CursorWindow()\n \n // Inject AI responses\n await window.injectCode({\n position: cursorPosition,\n code: mcpResponse.code,\n animate: true // Smooth typing animation\n })\n \n // Handle user interactions\n window.onCommand('refactor', async (selection) => {\n const mcpMessage = await bridge.createRefactorRequest(selection)\n const response = await mcpServer.send(mcpMessage)\n await window.applyRefactoring(response)\n })\n ```\n\n3. **Context Management**:\n ```typescript\n import { ContextManager } from 'cursor-mcp/context'\n \n const context = new ContextManager()\n \n // Track file dependencies\n await context.addFile('component.tsx')\n await context.trackDependencies()\n \n // Maintain conversation history\n context.addMessage({\n role: 'user',\n content: 'Refactor this component'\n })\n \n // Send to MCP server\n const response = await mcpServer.send({\n type: 'refactor',\n context: context.getFullContext()\n })\n ```\n\n## Security\n\n- Secure token-based authentication for AI services\n- Encrypted communication channels\n- Sandboxed execution environment\n- Fine-grained permission controls\n\n## Requirements\n\n### Windows\n- Windows 10 or later\n- Node.js 18 or later\n- Administrator privileges for installation\n\n### macOS\n- macOS 10.15 (Catalina) or later\n- Node.js 18 or later\n- Xcode Command Line Tools\n- Accessibility permissions for Terminal\n\n### Linux\n- X11 display server\n- Node.js 18 or later\n- xdotool\n- libxtst-dev\n- libpng++-dev\n- build-essential\n\n## Development\n\n### Setup\n```bash\n# Clone the repository\ngit clone https://github.com/your-org/cursor-mcp.git\ncd cursor-mcp\n\n# Install dependencies\nnpm install\n\n# Build the project\nnpm run build\n\n# Run tests\nnpm test\n```\n\n### Running Tests\n```bash\n# Run all tests\nnpm test\n\n# Run specific test suite\nnpm test -- window-management\n\n# Run with coverage\nnpm run test:coverage\n```\n\n## Contributing\n\nWe welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Support\n\n- 📚 [Documentation](https://your-org.github.io/cursor-mcp)\n- 🐛 [Issue Tracker](https://github.com/your-org/cursor-mcp/issues)\n- 💬 [Discussions](https://github.com/your-org/cursor-mcp/discussions)\n- 🔒 [Security](SECURITY.md)\n\n## Acknowledgments\n\n- [Cursor Editor](https://cursor.sh) - The AI-first code editor\n- [Claude AI](https://anthropic.com/claude) - Advanced AI assistant\n- [@nut-tree/nut-js](https://github.com/nut-tree/nut-js) - Cross-platform automation\n- [active-win](https://github.com/sindresorhus/active-win) - Window detection\n\n","name","English","tag","en-US",{"_27":40,"_35":44,"_37":45},{"_29":41,"_31":42,"_33":43},"Actúa como un puente entre la aplicación de escritorio de Claude y el editor Cursor, lo que permite una automatización fluida impulsada por IA y una gestión de múltiples instancias en todas las plataformas con comunicación estandarizada y autenticación segura basada en token.","Servidor MCP del cursor","# Cursor MCP (Protocolo de contexto de modelo)\n\nCursor MCP es un puente entre la aplicación de escritorio de Claude y el editor de Cursor, lo que permite una automatización fluida basada en IA y la gestión de múltiples instancias. Forma parte del ecosistema más amplio del Protocolo de Contexto de Modelo (MCP), lo que permite a Cursor interactuar con diversos modelos y servicios de IA mediante interfaces estandarizadas.\n\n## Descripción general\n\n### 🤖 Integración de IA\n\n* Integración directa con la aplicación de escritorio de Claude\n* Capacidad de aprovechar otros servicios de IA compatibles con MCP\n* Intercambio de contexto en tiempo real entre la IA y el editor\n* Automatización y generación de código impulsadas por IA\n\n### 🔌 Compatibilidad con el protocolo MCP\n\n* Comunicación estandarizada con modelos de IA\n* Sistema de complementos extensible para MCP adicionales\n* Ejecución de comandos según el contexto\n* Autenticación segura basada en tokens\n\n### 🖥️ Gestión de ventanas multiplataforma\n\n* Administre sin problemas las ventanas del editor del cursor en todos los sistemas operativos\n* Enfocar, minimizar, restaurar y organizar ventanas mediante programación\n* Realizar un seguimiento de los cambios de estado y posiciones de las ventanas\n* Manejar múltiples instancias de Cursor simultáneamente\n\n### ⌨️ Automatización de entrada\n\n* Entrada de teclado impulsada por IA con soporte para:\n * Generación e inserción de código\n * Operaciones de refactorización\n * Finalizaciones según el contexto\n * Edición con múltiples cursores\n* Automatización inteligente del mouse que incluye:\n * Selección inteligente\n * Operaciones del menú contextual\n * Navegación guiada por IA\n\n### 🔄 Gestión de procesos\n\n* Gestión de instancias orquestada por IA\n* Organización inteligente del espacio de trabajo\n* Preservación automática del contexto\n* Recuperación de sesión inteligente\n\n## Integración MCP\n\n### Integración de escritorio de Claude\n\n```typescript\nimport { ClaudeMCP } from 'cursor-mcp/claude'\n\n// Connect to Claude's desktop app\nconst claude = await ClaudeMCP.connect()\n\n// Execute AI-powered operations\nawait claude.generateCode({\n prompt: 'Create a React component',\n context: currentFileContent,\n language: 'typescript'\n})\n\n// Get AI suggestions\nconst suggestions = await claude.getSuggestions({\n code: selectedText,\n type: 'refactor'\n})\n```\n\n### Uso de múltiples MCP\n\n```typescript\nimport { MCPRegistry } from 'cursor-mcp/registry'\n\n// Register available MCPs\nMCPRegistry.register('claude', ClaudeMCP)\nMCPRegistry.register('github-copilot', CopilotMCP)\n\n// Use different AI services\nconst claude = await MCPRegistry.get('claude')\nconst copilot = await MCPRegistry.get('github-copilot')\n\n// Compare suggestions\nconst claudeSuggestions = await claude.getSuggestions(context)\nconst copilotSuggestions = await copilot.getSuggestions(context)\n```\n\n### Integración de MCP personalizada\n\n```typescript\nimport { BaseMCP, MCPProvider } from 'cursor-mcp/core'\n\nclass CustomMCP extends BaseMCP implements MCPProvider {\n async connect() {\n // Custom connection logic\n }\n\n async generateSuggestions(context: CodeContext) {\n // Custom AI integration\n }\n}\n\n// Register custom MCP\nMCPRegistry.register('custom-ai', CustomMCP)\n```\n\n## Configuración\n\nLa herramienta se puede configurar a través de variables de entorno o un archivo de configuración en:\n\n* Ventanas: `%LOCALAPPDATA%\\cursor-mcp\\config\\config.json`\n* macOS: `~/Library/Application Support/cursor-mcp/config/config.json`\n* Linux: `~/.config/cursor-mcp/config.json`\n\nEjemplo de configuración:\n\n```json\n{\n \"mcp\": {\n \"claude\": {\n \"enabled\": true,\n \"apiKey\": \"${CLAUDE_API_KEY}\",\n \"contextWindow\": 100000\n },\n \"providers\": {\n \"github-copilot\": {\n \"enabled\": true,\n \"auth\": \"${GITHUB_TOKEN}\"\n }\n }\n },\n \"autoStart\": true,\n \"maxInstances\": 4,\n \"windowArrangement\": \"grid\",\n \"logging\": {\n \"level\": \"info\",\n \"file\": \"cursor-mcp.log\"\n }\n}\n```\n\n## Instalación\n\n### Ventanas\n\n```powershell\n# Run as Administrator\nInvoke-WebRequest -Uri \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-windows.zip\" -OutFile \"cursor-mcp.zip\"\nExpand-Archive -Path \"cursor-mcp.zip\" -DestinationPath \".\"\n.\\windows.ps1\n```\n\n### macOS\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-macos.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./macos.sh\n```\n\n### Linux\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-linux.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./linux.sh\n```\n\n## Uso\n\n### Uso básico\n\n```typescript\nimport { CursorInstanceManager } from 'cursor-mcp'\n\n// Get the instance manager\nconst manager = CursorInstanceManager.getInstance()\n\n// Start a new Cursor instance\nawait manager.startNewInstance()\n\n// Get all running instances\nconst instances = await manager.getRunningInstances()\n\n// Focus a specific instance\nawait manager.focusInstance(instances[0])\n\n// Close all instances\nawait manager.closeAllInstances()\n```\n\n### Gestión de ventanas\n\n```typescript\nimport { WindowManager } from 'cursor-mcp'\n\nconst windowManager = WindowManager.getInstance()\n\n// Find all Cursor windows\nconst windows = await windowManager.findCursorWindows()\n\n// Focus a window\nawait windowManager.focusWindow(windows[0])\n\n// Arrange windows side by side\nawait windowManager.arrangeWindows(windows, 'sideBySide')\n\n// Minimize all windows\nfor (const window of windows) {\n await windowManager.minimizeWindow(window)\n}\n```\n\n### Automatización de entrada\n\n```typescript\nimport { InputAutomationService } from 'cursor-mcp'\n\nconst inputService = InputAutomationService.getInstance()\n\n// Type text\nawait inputService.typeText('Hello, World!')\n\n// Send keyboard shortcuts\nif (process.platform === 'darwin') {\n await inputService.sendKeys(['command', 'c'])\n} else {\n await inputService.sendKeys(['control', 'c'])\n}\n\n// Mouse operations\nawait inputService.moveMouse(100, 100)\nawait inputService.mouseClick('left')\nawait inputService.mouseDrag(100, 100, 200, 200)\n```\n\n## Cómo funciona\n\n### Arquitectura de puentes\n\nEsta herramienta actúa como una capa de middleware entre Cursor y los servidores MCP:\n\n1. **Integración del cursor** :\n\n * Monitorea los eventos del sistema de archivos del cursor\n * Captura el estado y el contexto del editor.\n * Inyecta respuestas nuevamente en el editor\n * Gestiona la automatización de ventanas y procesos.\n\n2. **Traducción del protocolo MCP** :\n\n * Traduce los eventos internos del Cursor en mensajes de protocolo MCP\n * Convierte las respuestas de MCP en acciones compatibles con el cursor\n * Mantiene el estado y el contexto de la sesión.\n * Maneja la autenticación y la seguridad\n\n3. **Comunicación del servidor** :\n\n * Se conecta al servidor MCP de la aplicación de escritorio de Claude\n * Envía solicitudes a los proveedores de IA adecuados\n * Administra conexiones simultáneas a múltiples MCP\n * Maneja los retrocesos y la recuperación de errores\n\n```mermaid\ngraph LR\n A[Cursor Editor] <--> B[Cursor MCP Bridge]\n B <--> C[Claude Desktop MCP]\n B <--> D[GitHub Copilot MCP]\n B <--> E[Custom AI MCPs]\n```\n\n### Ejemplo de flujo de trabajo\n\n1. **Solicitud de finalización de código** :\n\n ```typescript\n // 1. Cursor Event (File Change)\n // When user types in Cursor:\n function calculateTotal(items) {\n // Calculate the total price of items| <-- cursor position\n\n // 2. Bridge Translation\n const event = {\n type: 'completion_request',\n context: {\n file: 'shopping-cart.ts',\n line: 2,\n prefix: '// Calculate the total price of items',\n language: 'typescript',\n cursor_position: 43\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('generate_completion', {\n prompt: event.context,\n max_tokens: 150,\n temperature: 0.7\n })\n\n // 4. Response Translation\n // Bridge converts MCP response:\n const response = `return items.reduce((total, item) => {\n return total + (item.price * item.quantity);\n }, 0);`\n\n // 5. Cursor Integration\n // Bridge injects the code at cursor position\n ```\n\n2. **Refactorización de código** :\n\n ```typescript\n // 1. Cursor Event (Command)\n // User selects code and triggers refactor command\n const oldCode = `\n if (user.age >= 18) {\n if (user.hasLicense) {\n if (car.isAvailable) {\n rentCar(user, car);\n }\n }\n }\n `\n\n // 2. Bridge Translation\n const event = {\n type: 'refactor_request',\n context: {\n selection: oldCode,\n command: 'simplify_nesting'\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('refactor_code', {\n code: event.context.selection,\n style: 'simplified',\n maintain_logic: true\n })\n\n // 4. Response Translation\n const response = `\n const canRentCar = user.age >= 18 \n && user.hasLicense \n && car.isAvailable;\n \n if (canRentCar) {\n rentCar(user, car);\n }\n `\n\n // 5. Cursor Integration\n // Bridge replaces selected code\n ```\n\n3. **Contexto de múltiples archivos** :\n\n ```typescript\n // 1. Cursor Event (File Dependencies)\n // When user requests help with a component\n\n // 2. Bridge Translation\n const event = {\n type: 'context_request',\n files: {\n 'UserProfile.tsx': '...',\n 'types.ts': '...',\n 'api.ts': '...'\n },\n focus_file: 'UserProfile.tsx'\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('analyze_context', {\n files: event.files,\n primary_file: event.focus_file,\n analysis_type: 'component_dependencies'\n })\n\n // 4. Response Processing\n // Bridge maintains context across requests\n ```\n\n### Métodos de integración\n\n1. **Monitoreo del sistema de archivos** :\n\n ```typescript\n import { FileSystemWatcher } from 'cursor-mcp/watcher'\n\n const watcher = new FileSystemWatcher({\n paths: ['/path/to/cursor/workspace'],\n events: ['change', 'create', 'delete']\n })\n\n watcher.on('change', async (event) => {\n const mcpMessage = await bridge.translateEvent(event)\n await mcpServer.send(mcpMessage)\n })\n ```\n\n2. **Integración de ventanas** :\n\n ```typescript\n import { CursorWindow } from 'cursor-mcp/window'\n\n const window = new CursorWindow()\n\n // Inject AI responses\n await window.injectCode({\n position: cursorPosition,\n code: mcpResponse.code,\n animate: true // Smooth typing animation\n })\n\n // Handle user interactions\n window.onCommand('refactor', async (selection) => {\n const mcpMessage = await bridge.createRefactorRequest(selection)\n const response = await mcpServer.send(mcpMessage)\n await window.applyRefactoring(response)\n })\n ```\n\n3. **Gestión del contexto** :\n\n ```typescript\n import { ContextManager } from 'cursor-mcp/context'\n\n const context = new ContextManager()\n\n // Track file dependencies\n await context.addFile('component.tsx')\n await context.trackDependencies()\n\n // Maintain conversation history\n context.addMessage({\n role: 'user',\n content: 'Refactor this component'\n })\n\n // Send to MCP server\n const response = await mcpServer.send({\n type: 'refactor',\n context: context.getFullContext()\n })\n ```\n\n## Seguridad\n\n* Autenticación segura basada en tokens para servicios de IA\n* Canales de comunicación cifrados\n* Entorno de ejecución en espacio aislado\n* Controles de permisos de grano fino\n\n## Requisitos\n\n### Ventanas\n\n* Windows 10 o posterior\n* Node.js 18 o posterior\n* Privilegios de administrador para la instalación\n\n### macOS\n\n* macOS 10.15 (Catalina) o posterior\n* Node.js 18 o posterior\n* Herramientas de línea de comandos de Xcode\n* Permisos de accesibilidad para la Terminal\n\n### Linux\n\n* Servidor de visualización X11\n* Node.js 18 o posterior\n* herramienta xdotool\n* libxtst-dev\n* libpng++-dev\n* construcción esencial\n\n## Desarrollo\n\n### Configuración\n\n```bash\n# Clone the repository\ngit clone https://github.com/your-org/cursor-mcp.git\ncd cursor-mcp\n\n# Install dependencies\nnpm install\n\n# Build the project\nnpm run build\n\n# Run tests\nnpm test\n```\n\n### Ejecución de pruebas\n\n```bash\n# Run all tests\nnpm test\n\n# Run specific test suite\nnpm test -- window-management\n\n# Run with coverage\nnpm run test:coverage\n```\n\n## Contribuyendo\n\n¡Agradecemos sus contribuciones! Consulte nuestra [Guía de Contribución](CONTRIBUTING.md) para más detalles.\n\n## Licencia\n\nEste proyecto está licenciado bajo la licencia MIT: consulte el archivo [de LICENCIA](LICENSE) para obtener más detalles.\n\n## Apoyo\n\n* 📚 [Documentación](https://your-org.github.io/cursor-mcp)\n* 🐛 [Rastreador de problemas](https://github.com/your-org/cursor-mcp/issues)\n* 💬 [Discusiones](https://github.com/your-org/cursor-mcp/discussions)\n* 🔒 [Seguridad](SECURITY.md)\n\n## Expresiones de gratitud\n\n* [Editor de cursores](https://cursor.sh) : el editor de código basado en IA\n* [Claude AI](https://anthropic.com/claude) - Asistente avanzado de IA\n* [@nut-tree/nut-js](https://github.com/nut-tree/nut-js) - Automatización multiplataforma\n* [active-win](https://github.com/sindresorhus/active-win) - Detección de ventanas","Spanish","es-ES",{"_27":47,"_35":51,"_37":52},{"_29":48,"_31":49,"_33":50},"Claude のデスクトップアプリケーションとカーソルエディター間のブリッジとして機能し、標準化された通信と安全なトークンベースの認証により、シームレスな AI を活用した自動化とプラットフォーム間のマルチインスタンス管理を可能にします。","カーソルMCPサーバー","# カーソルMCP（モデルコンテキストプロトコル）\n\nCursor MCPは、ClaudeのデスクトップアプリケーションとCursorエディタをつなぐ橋渡しとなり、AIを活用したシームレスな自動化とマルチインスタンス管理を実現します。より広範なModel Context Protocol（MCP）エコシステムの一部であり、標準化されたインターフェースを通じてCursorが様々なAIモデルやサービスと連携することを可能にします。\n\n## 概要\n\n### 🤖 AI統合\n\n* Claudeのデスクトップアプリケーションとの直接統合\n* 他のMCP互換AIサービスを活用する能力\n* AIとエディター間のリアルタイムコンテキスト共有\n* AIを活用した自動化とコード生成\n\n### 🔌 MCP プロトコルのサポート\n\n* AIモデルとの標準化された通信\n* 追加のMCP用の拡張可能なプラグインシステム\n* コンテキスト認識コマンド実行\n* 安全なトークンベースの認証\n\n### 🖥️ クロスプラットフォームのウィンドウ管理\n\n* 複数のオペレーティングシステム間でカーソルエディタウィンドウをシームレスに管理します\n* プログラムでウィンドウをフォーカス、最小化、復元、整列する\n* ウィンドウの状態の変化と位置を追跡する\n* 複数のカーソルインスタンスを同時に処理する\n\n### ⌨️ 入力自動化\n\n* 以下をサポートする AI 駆動型キーボード入力:\n * コード生成と挿入\n * リファクタリング操作\n * コンテキスト認識補完\n * マルチカーソル編集\n* 以下を含むインテリジェントなマウス自動化:\n * スマートな選択\n * コンテキストメニュー操作\n * AIガイドナビゲーション\n\n### 🔄プロセス管理\n\n* AIオーケストレーションによるインスタンス管理\n* スマートなワークスペースの整理\n* 自動コンテキスト保存\n* インテリジェントなセッション回復\n\n## MCP統合\n\n### クロードデスクトップ統合\n\n```typescript\nimport { ClaudeMCP } from 'cursor-mcp/claude'\n\n// Connect to Claude's desktop app\nconst claude = await ClaudeMCP.connect()\n\n// Execute AI-powered operations\nawait claude.generateCode({\n prompt: 'Create a React component',\n context: currentFileContent,\n language: 'typescript'\n})\n\n// Get AI suggestions\nconst suggestions = await claude.getSuggestions({\n code: selectedText,\n type: 'refactor'\n})\n```\n\n### 複数のMCPの使用\n\n```typescript\nimport { MCPRegistry } from 'cursor-mcp/registry'\n\n// Register available MCPs\nMCPRegistry.register('claude', ClaudeMCP)\nMCPRegistry.register('github-copilot', CopilotMCP)\n\n// Use different AI services\nconst claude = await MCPRegistry.get('claude')\nconst copilot = await MCPRegistry.get('github-copilot')\n\n// Compare suggestions\nconst claudeSuggestions = await claude.getSuggestions(context)\nconst copilotSuggestions = await copilot.getSuggestions(context)\n```\n\n### カスタムMCP統合\n\n```typescript\nimport { BaseMCP, MCPProvider } from 'cursor-mcp/core'\n\nclass CustomMCP extends BaseMCP implements MCPProvider {\n async connect() {\n // Custom connection logic\n }\n\n async generateSuggestions(context: CodeContext) {\n // Custom AI integration\n }\n}\n\n// Register custom MCP\nMCPRegistry.register('custom-ai', CustomMCP)\n```\n\n## 構成\n\nこのツールは、環境変数または次の設定ファイルを通じて設定できます。\n\n* Windows: `%LOCALAPPDATA%\\cursor-mcp\\config\\config.json`\n* macOS: `~/Library/Application Support/cursor-mcp/config/config.json`\n* Linux: `~/.config/cursor-mcp/config.json`\n\n構成例:\n\n```json\n{\n \"mcp\": {\n \"claude\": {\n \"enabled\": true,\n \"apiKey\": \"${CLAUDE_API_KEY}\",\n \"contextWindow\": 100000\n },\n \"providers\": {\n \"github-copilot\": {\n \"enabled\": true,\n \"auth\": \"${GITHUB_TOKEN}\"\n }\n }\n },\n \"autoStart\": true,\n \"maxInstances\": 4,\n \"windowArrangement\": \"grid\",\n \"logging\": {\n \"level\": \"info\",\n \"file\": \"cursor-mcp.log\"\n }\n}\n```\n\n## インストール\n\n### ウィンドウズ\n\n```powershell\n# Run as Administrator\nInvoke-WebRequest -Uri \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-windows.zip\" -OutFile \"cursor-mcp.zip\"\nExpand-Archive -Path \"cursor-mcp.zip\" -DestinationPath \".\"\n.\\windows.ps1\n```\n\n### macOS\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-macos.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./macos.sh\n```\n\n### リナックス\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-linux.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./linux.sh\n```\n\n## 使用法\n\n### 基本的な使い方\n\n```typescript\nimport { CursorInstanceManager } from 'cursor-mcp'\n\n// Get the instance manager\nconst manager = CursorInstanceManager.getInstance()\n\n// Start a new Cursor instance\nawait manager.startNewInstance()\n\n// Get all running instances\nconst instances = await manager.getRunningInstances()\n\n// Focus a specific instance\nawait manager.focusInstance(instances[0])\n\n// Close all instances\nawait manager.closeAllInstances()\n```\n\n### ウィンドウ管理\n\n```typescript\nimport { WindowManager } from 'cursor-mcp'\n\nconst windowManager = WindowManager.getInstance()\n\n// Find all Cursor windows\nconst windows = await windowManager.findCursorWindows()\n\n// Focus a window\nawait windowManager.focusWindow(windows[0])\n\n// Arrange windows side by side\nawait windowManager.arrangeWindows(windows, 'sideBySide')\n\n// Minimize all windows\nfor (const window of windows) {\n await windowManager.minimizeWindow(window)\n}\n```\n\n### 入力自動化\n\n```typescript\nimport { InputAutomationService } from 'cursor-mcp'\n\nconst inputService = InputAutomationService.getInstance()\n\n// Type text\nawait inputService.typeText('Hello, World!')\n\n// Send keyboard shortcuts\nif (process.platform === 'darwin') {\n await inputService.sendKeys(['command', 'c'])\n} else {\n await inputService.sendKeys(['control', 'c'])\n}\n\n// Mouse operations\nawait inputService.moveMouse(100, 100)\nawait inputService.mouseClick('left')\nawait inputService.mouseDrag(100, 100, 200, 200)\n```\n\n## 仕組み\n\n### 橋梁建築\n\nこのツールは、カーソルと MCP サーバー間のミドルウェア層として機能します。\n\n1. **カーソル統合**:\n\n * カーソルのファイルシステムイベントを監視します\n * エディターの状態とコンテキストをキャプチャします\n * 応答をエディターに挿入します\n * ウィンドウとプロセスの自動化を管理します\n\n2. **MCPプロトコル翻訳**:\n\n * カーソルの内部イベントをMCPプロトコルメッセージに変換します\n * MCP応答をカーソル互換のアクションに変換します\n * セッション状態とコンテキストを維持する\n * 認証とセキュリティを処理する\n\n3. **サーバー通信**:\n\n * クロードのデスクトップアプリMCPサーバーに接続します\n * 適切なAIプロバイダーにリクエストをルーティングします\n * 複数のMCPへの同時接続を管理します\n * フォールバックとエラー回復を処理する\n\n```mermaid\ngraph LR\n A[Cursor Editor] <--> B[Cursor MCP Bridge]\n B <--> C[Claude Desktop MCP]\n B <--> D[GitHub Copilot MCP]\n B <--> E[Custom AI MCPs]\n```\n\n### ワークフローの例\n\n1. **コード補完リクエスト**:\n\n ```typescript\n // 1. Cursor Event (File Change)\n // When user types in Cursor:\n function calculateTotal(items) {\n // Calculate the total price of items| <-- cursor position\n\n // 2. Bridge Translation\n const event = {\n type: 'completion_request',\n context: {\n file: 'shopping-cart.ts',\n line: 2,\n prefix: '// Calculate the total price of items',\n language: 'typescript',\n cursor_position: 43\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('generate_completion', {\n prompt: event.context,\n max_tokens: 150,\n temperature: 0.7\n })\n\n // 4. Response Translation\n // Bridge converts MCP response:\n const response = `return items.reduce((total, item) => {\n return total + (item.price * item.quantity);\n }, 0);`\n\n // 5. Cursor Integration\n // Bridge injects the code at cursor position\n ```\n\n2. **コードリファクタリング**:\n\n ```typescript\n // 1. Cursor Event (Command)\n // User selects code and triggers refactor command\n const oldCode = `\n if (user.age >= 18) {\n if (user.hasLicense) {\n if (car.isAvailable) {\n rentCar(user, car);\n }\n }\n }\n `\n\n // 2. Bridge Translation\n const event = {\n type: 'refactor_request',\n context: {\n selection: oldCode,\n command: 'simplify_nesting'\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('refactor_code', {\n code: event.context.selection,\n style: 'simplified',\n maintain_logic: true\n })\n\n // 4. Response Translation\n const response = `\n const canRentCar = user.age >= 18 \n && user.hasLicense \n && car.isAvailable;\n \n if (canRentCar) {\n rentCar(user, car);\n }\n `\n\n // 5. Cursor Integration\n // Bridge replaces selected code\n ```\n\n3. **複数ファイルのコンテキスト**:\n\n ```typescript\n // 1. Cursor Event (File Dependencies)\n // When user requests help with a component\n\n // 2. Bridge Translation\n const event = {\n type: 'context_request',\n files: {\n 'UserProfile.tsx': '...',\n 'types.ts': '...',\n 'api.ts': '...'\n },\n focus_file: 'UserProfile.tsx'\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('analyze_context', {\n files: event.files,\n primary_file: event.focus_file,\n analysis_type: 'component_dependencies'\n })\n\n // 4. Response Processing\n // Bridge maintains context across requests\n ```\n\n### 統合方法\n\n1. **ファイルシステム監視**:\n\n ```typescript\n import { FileSystemWatcher } from 'cursor-mcp/watcher'\n\n const watcher = new FileSystemWatcher({\n paths: ['/path/to/cursor/workspace'],\n events: ['change', 'create', 'delete']\n })\n\n watcher.on('change', async (event) => {\n const mcpMessage = await bridge.translateEvent(event)\n await mcpServer.send(mcpMessage)\n })\n ```\n\n2. **ウィンドウ統合**:\n\n ```typescript\n import { CursorWindow } from 'cursor-mcp/window'\n\n const window = new CursorWindow()\n\n // Inject AI responses\n await window.injectCode({\n position: cursorPosition,\n code: mcpResponse.code,\n animate: true // Smooth typing animation\n })\n\n // Handle user interactions\n window.onCommand('refactor', async (selection) => {\n const mcpMessage = await bridge.createRefactorRequest(selection)\n const response = await mcpServer.send(mcpMessage)\n await window.applyRefactoring(response)\n })\n ```\n\n3. **コンテキスト管理**:\n\n ```typescript\n import { ContextManager } from 'cursor-mcp/context'\n\n const context = new ContextManager()\n\n // Track file dependencies\n await context.addFile('component.tsx')\n await context.trackDependencies()\n\n // Maintain conversation history\n context.addMessage({\n role: 'user',\n content: 'Refactor this component'\n })\n\n // Send to MCP server\n const response = await mcpServer.send({\n type: 'refactor',\n context: context.getFullContext()\n })\n ```\n\n## 安全\n\n* AIサービス向けの安全なトークンベースの認証\n* 暗号化された通信チャネル\n* サンドボックス化された実行環境\n* きめ細かな権限制御\n\n## 要件\n\n### ウィンドウズ\n\n* Windows 10以降\n* Node.js 18以降\n* インストールのための管理者権限\n\n### macOS\n\n* macOS 10.15 (Catalina) 以降\n* Node.js 18以降\n* Xcode コマンドラインツール\n* ターミナルのアクセシビリティ権限\n\n### リナックス\n\n* X11ディスプレイサーバー\n* Node.js 18以降\n* xdotool\n* libxtst-dev\n* libpng++-dev\n* ビルド必須\n\n## 発達\n\n### 設定\n\n```bash\n# Clone the repository\ngit clone https://github.com/your-org/cursor-mcp.git\ncd cursor-mcp\n\n# Install dependencies\nnpm install\n\n# Build the project\nnpm run build\n\n# Run tests\nnpm test\n```\n\n### テストの実行\n\n```bash\n# Run all tests\nnpm test\n\n# Run specific test suite\nnpm test -- window-management\n\n# Run with coverage\nnpm run test:coverage\n```\n\n## 貢献\n\n貢献を歓迎します！詳細については[貢献ガイド](CONTRIBUTING.md)をご覧ください。\n\n## ライセンス\n\nこのプロジェクトは MIT ライセンスに基づいてライセンスされています - 詳細については[LICENSE](LICENSE)ファイルを参照してください。\n\n## サポート\n\n* 📚[ドキュメント](https://your-org.github.io/cursor-mcp)\n* 🐛[問題トラッカー](https://github.com/your-org/cursor-mcp/issues)\n* 💬[ディスカッション](https://github.com/your-org/cursor-mcp/discussions)\n* 🔒[セキュリティ](SECURITY.md)\n\n## 謝辞\n\n* [カーソルエディター](https://cursor.sh)- AIファーストのコードエディター\n* [Claude AI](https://anthropic.com/claude) - 高度な AI アシスタント\n* [@nut-tree/nut-js](https://github.com/nut-tree/nut-js) - クロスプラットフォーム自動化\n* [active-win](https://github.com/sindresorhus/active-win) - ウィンドウ検出","Japanese","ja-JP",{"_27":54,"_35":58,"_37":59},{"_29":55,"_31":56,"_33":57},"Claude의 데스크톱 애플리케이션과 커서 편집기 사이의 브리지 역할을 하여 표준화된 통신과 안전한 토큰 기반 인증을 통해 플랫폼 전반에서 원활한 AI 기반 자동화와 다중 인스턴스 관리를 가능하게 합니다.","커서 MCP 서버","# 커서 MCP(모델 컨텍스트 프로토콜)\n\nCursor MCP는 Claude의 데스크톱 애플리케이션과 Cursor 편집기를 연결하는 다리 역할을 하며, 원활한 AI 기반 자동화 및 다중 인스턴스 관리를 지원합니다. 더 광범위한 Model Context Protocol(MCP) 생태계의 일부로, Cursor가 표준화된 인터페이스를 통해 다양한 AI 모델 및 서비스와 상호 작용할 수 있도록 지원합니다.\n\n## 개요\n\n### 🤖 AI 통합\n\n* Claude의 데스크톱 애플리케이션과 직접 통합\n* 다른 MCP 호환 AI 서비스를 활용하는 기능\n* AI와 편집자 간 실시간 컨텍스트 공유\n* AI 기반 자동화 및 코드 생성\n\n### 🔌 MCP 프로토콜 지원\n\n* AI 모델과의 표준화된 커뮤니케이션\n* 추가 MCP를 위한 확장 가능한 플러그인 시스템\n* 컨텍스트 인식 명령 실행\n* 보안 토큰 기반 인증\n\n### 🖥️ 크로스 플랫폼 창 관리\n\n* 운영 체제 전반에서 커서 편집기 창을 원활하게 관리합니다.\n* 프로그래밍 방식으로 창을 초점 맞추고, 최소화하고, 복원하고, 정렬합니다.\n* 창 상태 변경 및 위치 추적\n* 여러 커서 인스턴스를 동시에 처리합니다.\n\n### ⌨️ 입력 자동화\n\n* 다음을 지원하는 AI 기반 키보드 입력:\n * 코드 생성 및 삽입\n * 리팩토링 작업\n * 컨텍스트 인식 완성\n * 다중 커서 편집\n* 다음을 포함한 지능형 마우스 자동화:\n * 스마트 선택\n * 컨텍스트 메뉴 작업\n * AI 가이드 내비게이션\n\n### 🔄 프로세스 관리\n\n* AI 기반 인스턴스 관리\n* 스마트한 작업 공간 구성\n* 자동 컨텍스트 보존\n* 지능형 세션 복구\n\n## MCP 통합\n\n### Claude 데스크톱 통합\n\n지엑스피1\n\n### 여러 MCP 사용\n\n```typescript\nimport { MCPRegistry } from 'cursor-mcp/registry'\n\n// Register available MCPs\nMCPRegistry.register('claude', ClaudeMCP)\nMCPRegistry.register('github-copilot', CopilotMCP)\n\n// Use different AI services\nconst claude = await MCPRegistry.get('claude')\nconst copilot = await MCPRegistry.get('github-copilot')\n\n// Compare suggestions\nconst claudeSuggestions = await claude.getSuggestions(context)\nconst copilotSuggestions = await copilot.getSuggestions(context)\n```\n\n### 맞춤형 MCP 통합\n\n```typescript\nimport { BaseMCP, MCPProvider } from 'cursor-mcp/core'\n\nclass CustomMCP extends BaseMCP implements MCPProvider {\n async connect() {\n // Custom connection logic\n }\n\n async generateSuggestions(context: CodeContext) {\n // Custom AI integration\n }\n}\n\n// Register custom MCP\nMCPRegistry.register('custom-ai', CustomMCP)\n```\n\n## 구성\n\n이 도구는 환경 변수나 다음 위치의 구성 파일을 통해 구성할 수 있습니다.\n\n* 윈도우: `%LOCALAPPDATA%\\cursor-mcp\\config\\config.json`\n* macOS: `~/Library/Application Support/cursor-mcp/config/config.json`\n* 리눅스: `~/.config/cursor-mcp/config.json`\n\n구성 예:\n\n```json\n{\n \"mcp\": {\n \"claude\": {\n \"enabled\": true,\n \"apiKey\": \"${CLAUDE_API_KEY}\",\n \"contextWindow\": 100000\n },\n \"providers\": {\n \"github-copilot\": {\n \"enabled\": true,\n \"auth\": \"${GITHUB_TOKEN}\"\n }\n }\n },\n \"autoStart\": true,\n \"maxInstances\": 4,\n \"windowArrangement\": \"grid\",\n \"logging\": {\n \"level\": \"info\",\n \"file\": \"cursor-mcp.log\"\n }\n}\n```\n\n## 설치\n\n### 윈도우\n\n```powershell\n# Run as Administrator\nInvoke-WebRequest -Uri \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-windows.zip\" -OutFile \"cursor-mcp.zip\"\nExpand-Archive -Path \"cursor-mcp.zip\" -DestinationPath \".\"\n.\\windows.ps1\n```\n\n### 맥OS\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-macos.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./macos.sh\n```\n\n### 리눅스\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-linux.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./linux.sh\n```\n\n## 용법\n\n### 기본 사용법\n\n```typescript\nimport { CursorInstanceManager } from 'cursor-mcp'\n\n// Get the instance manager\nconst manager = CursorInstanceManager.getInstance()\n\n// Start a new Cursor instance\nawait manager.startNewInstance()\n\n// Get all running instances\nconst instances = await manager.getRunningInstances()\n\n// Focus a specific instance\nawait manager.focusInstance(instances[0])\n\n// Close all instances\nawait manager.closeAllInstances()\n```\n\n### 창 관리\n\n```typescript\nimport { WindowManager } from 'cursor-mcp'\n\nconst windowManager = WindowManager.getInstance()\n\n// Find all Cursor windows\nconst windows = await windowManager.findCursorWindows()\n\n// Focus a window\nawait windowManager.focusWindow(windows[0])\n\n// Arrange windows side by side\nawait windowManager.arrangeWindows(windows, 'sideBySide')\n\n// Minimize all windows\nfor (const window of windows) {\n await windowManager.minimizeWindow(window)\n}\n```\n\n### 입력 자동화\n\n```typescript\nimport { InputAutomationService } from 'cursor-mcp'\n\nconst inputService = InputAutomationService.getInstance()\n\n// Type text\nawait inputService.typeText('Hello, World!')\n\n// Send keyboard shortcuts\nif (process.platform === 'darwin') {\n await inputService.sendKeys(['command', 'c'])\n} else {\n await inputService.sendKeys(['control', 'c'])\n}\n\n// Mouse operations\nawait inputService.moveMouse(100, 100)\nawait inputService.mouseClick('left')\nawait inputService.mouseDrag(100, 100, 200, 200)\n```\n\n## 작동 원리\n\n### 교량 건축\n\n이 도구는 Cursor와 MCP 서버 사이의 미들웨어 계층 역할을 합니다.\n\n1. **커서 통합** :\n\n * 커서의 파일 시스템 이벤트를 모니터링합니다.\n * 편집자 상태 및 컨텍스트를 캡처합니다.\n * 편집기에 응답을 다시 주입합니다.\n * 창 및 프로세스 자동화를 관리합니다.\n\n2. **MCP 프로토콜 번역** :\n\n * 커서의 내부 이벤트를 MCP 프로토콜 메시지로 변환합니다.\n * MCP 응답을 커서 호환 작업으로 변환합니다.\n * 세션 상태 및 컨텍스트를 유지합니다.\n * 인증 및 보안을 처리합니다\n\n3. **서버 통신** :\n\n * Claude의 데스크톱 앱 MCP 서버에 연결합니다.\n * 적절한 AI 공급자에게 요청을 라우팅합니다.\n * 여러 MCP에 대한 동시 연결을 관리합니다.\n * 폴백 및 오류 복구를 처리합니다.\n\n```mermaid\ngraph LR\n A[Cursor Editor] <--> B[Cursor MCP Bridge]\n B <--> C[Claude Desktop MCP]\n B <--> D[GitHub Copilot MCP]\n B <--> E[Custom AI MCPs]\n```\n\n### 워크플로 예시\n\n1. **코드 완성 요청** :\n\n ```typescript\n // 1. Cursor Event (File Change)\n // When user types in Cursor:\n function calculateTotal(items) {\n // Calculate the total price of items| <-- cursor position\n\n // 2. Bridge Translation\n const event = {\n type: 'completion_request',\n context: {\n file: 'shopping-cart.ts',\n line: 2,\n prefix: '// Calculate the total price of items',\n language: 'typescript',\n cursor_position: 43\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('generate_completion', {\n prompt: event.context,\n max_tokens: 150,\n temperature: 0.7\n })\n\n // 4. Response Translation\n // Bridge converts MCP response:\n const response = `return items.reduce((total, item) => {\n return total + (item.price * item.quantity);\n }, 0);`\n\n // 5. Cursor Integration\n // Bridge injects the code at cursor position\n ```\n\n2. **코드 리팩토링** :\n\n ```typescript\n // 1. Cursor Event (Command)\n // User selects code and triggers refactor command\n const oldCode = `\n if (user.age >= 18) {\n if (user.hasLicense) {\n if (car.isAvailable) {\n rentCar(user, car);\n }\n }\n }\n `\n\n // 2. Bridge Translation\n const event = {\n type: 'refactor_request',\n context: {\n selection: oldCode,\n command: 'simplify_nesting'\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('refactor_code', {\n code: event.context.selection,\n style: 'simplified',\n maintain_logic: true\n })\n\n // 4. Response Translation\n const response = `\n const canRentCar = user.age >= 18 \n && user.hasLicense \n && car.isAvailable;\n \n if (canRentCar) {\n rentCar(user, car);\n }\n `\n\n // 5. Cursor Integration\n // Bridge replaces selected code\n ```\n\n3. **다중 파일 컨텍스트** :\n\n ```typescript\n // 1. Cursor Event (File Dependencies)\n // When user requests help with a component\n\n // 2. Bridge Translation\n const event = {\n type: 'context_request',\n files: {\n 'UserProfile.tsx': '...',\n 'types.ts': '...',\n 'api.ts': '...'\n },\n focus_file: 'UserProfile.tsx'\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('analyze_context', {\n files: event.files,\n primary_file: event.focus_file,\n analysis_type: 'component_dependencies'\n })\n\n // 4. Response Processing\n // Bridge maintains context across requests\n ```\n\n### 통합 방법\n\n1. **파일 시스템 모니터링** :\n\n ```typescript\n import { FileSystemWatcher } from 'cursor-mcp/watcher'\n\n const watcher = new FileSystemWatcher({\n paths: ['/path/to/cursor/workspace'],\n events: ['change', 'create', 'delete']\n })\n\n watcher.on('change', async (event) => {\n const mcpMessage = await bridge.translateEvent(event)\n await mcpServer.send(mcpMessage)\n })\n ```\n\n2. **창 통합** :\n\n ```typescript\n import { CursorWindow } from 'cursor-mcp/window'\n\n const window = new CursorWindow()\n\n // Inject AI responses\n await window.injectCode({\n position: cursorPosition,\n code: mcpResponse.code,\n animate: true // Smooth typing animation\n })\n\n // Handle user interactions\n window.onCommand('refactor', async (selection) => {\n const mcpMessage = await bridge.createRefactorRequest(selection)\n const response = await mcpServer.send(mcpMessage)\n await window.applyRefactoring(response)\n })\n ```\n\n3. **컨텍스트 관리** :\n\n ```typescript\n import { ContextManager } from 'cursor-mcp/context'\n\n const context = new ContextManager()\n\n // Track file dependencies\n await context.addFile('component.tsx')\n await context.trackDependencies()\n\n // Maintain conversation history\n context.addMessage({\n role: 'user',\n content: 'Refactor this component'\n })\n\n // Send to MCP server\n const response = await mcpServer.send({\n type: 'refactor',\n context: context.getFullContext()\n })\n ```\n\n## 보안\n\n* AI 서비스를 위한 안전한 토큰 기반 인증\n* 암호화된 통신 채널\n* 샌드박스 실행 환경\n* 세분화된 권한 제어\n\n## 요구 사항\n\n### 윈도우\n\n* Windows 10 이상\n* Node.js 18 이상\n* 설치를 위한 관리자 권한\n\n### 맥OS\n\n* macOS 10.15(Catalina) 이상\n* Node.js 18 이상\n* Xcode 명령줄 도구\n* 터미널 접근성 권한\n\n### 리눅스\n\n* X11 디스플레이 서버\n* Node.js 18 이상\n* 엑스도툴\n* libxtst-dev\n* libpng++-dev\n* 빌드-에센셜\n\n## 개발\n\n### 설정\n\n```bash\n# Clone the repository\ngit clone https://github.com/your-org/cursor-mcp.git\ncd cursor-mcp\n\n# Install dependencies\nnpm install\n\n# Build the project\nnpm run build\n\n# Run tests\nnpm test\n```\n\n### 테스트 실행\n\n```bash\n# Run all tests\nnpm test\n\n# Run specific test suite\nnpm test -- window-management\n\n# Run with coverage\nnpm run test:coverage\n```\n\n## 기여하다\n\n기여를 환영합니다! 자세한 내용은 [기여 가이드를](CONTRIBUTING.md) 참조하세요.\n\n## 특허\n\n이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여되었습니다. 자세한 내용은 [라이선스](LICENSE) 파일을 참조하세요.\n\n## 지원하다\n\n* 📚 [문서](https://your-org.github.io/cursor-mcp)\n* 🐛 [이슈 트래커](https://github.com/your-org/cursor-mcp/issues)\n* 💬 [토론](https://github.com/your-org/cursor-mcp/discussions)\n* 🔒 [보안](SECURITY.md)\n\n## 감사의 말\n\n* [커서 편집기](https://cursor.sh) - AI 우선 코드 편집기\n* [Claude AI](https://anthropic.com/claude) - 고급 AI 조수\n* [@nut-tree/nut-js](https://github.com/nut-tree/nut-js) - 크로스 플랫폼 자동화\n* [active-win](https://github.com/sindresorhus/active-win) - 창 감지","Korean","ko-KR",{"_27":61,"_35":65,"_37":66},{"_29":62,"_31":63,"_33":64},"充当 Claude 桌面应用程序和 Cursor 编辑器之间的桥梁，通过标准化通信和基于安全令牌的身份验证实现跨平台的无缝 AI 自动化和多实例管理。","游标 MCP 服务器","# 游标 MCP（模型上下文协议）\n\nCursor 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。\n\n## 概述\n\n### 🤖 AI 集成\n\n* 与 Claude 的桌面应用程序直接集成\n* 能够利用其他与 MCP 兼容的 AI 服务\n* AI 与编辑之间的实时上下文共享\n* 人工智能驱动的自动化和代码生成\n\n### 🔌 MCP 协议支持\n\n* 与AI模型的标准化沟通\n* 可扩展插件系统，用于附加 MCP\n* 上下文感知命令执行\n* 基于令牌的安全身份验证\n\n### 🖥️ 跨平台窗口管理\n\n* 无缝管理跨操作系统的 Cursor 编辑器窗口\n* 通过编程聚焦、最小化、恢复和排列窗口\n* 跟踪窗口状态变化和位置\n* 同时处理多个 Cursor 实例\n\n### ⌨️ 输入自动化\n\n* AI 驱动的键盘输入支持：\n * 代码生成和插入\n * 重构操作\n * 上下文感知补全\n * 多光标编辑\n* 智能鼠标自动化包括：\n * 智能选择\n * 上下文菜单操作\n * 人工智能导航\n\n### 🔄 流程管理\n\n* AI 协调的实例管理\n* 智能工作空间组织\n* 自动上下文保存\n* 智能会话恢复\n\n## MCP 集成\n\n### Claude 桌面集成\n\n```typescript\nimport { ClaudeMCP } from 'cursor-mcp/claude'\n\n// Connect to Claude's desktop app\nconst claude = await ClaudeMCP.connect()\n\n// Execute AI-powered operations\nawait claude.generateCode({\n prompt: 'Create a React component',\n context: currentFileContent,\n language: 'typescript'\n})\n\n// Get AI suggestions\nconst suggestions = await claude.getSuggestions({\n code: selectedText,\n type: 'refactor'\n})\n```\n\n### 使用多个 MCP\n\n```typescript\nimport { MCPRegistry } from 'cursor-mcp/registry'\n\n// Register available MCPs\nMCPRegistry.register('claude', ClaudeMCP)\nMCPRegistry.register('github-copilot', CopilotMCP)\n\n// Use different AI services\nconst claude = await MCPRegistry.get('claude')\nconst copilot = await MCPRegistry.get('github-copilot')\n\n// Compare suggestions\nconst claudeSuggestions = await claude.getSuggestions(context)\nconst copilotSuggestions = await copilot.getSuggestions(context)\n```\n\n### 自定义 MCP 集成\n\n```typescript\nimport { BaseMCP, MCPProvider } from 'cursor-mcp/core'\n\nclass CustomMCP extends BaseMCP implements MCPProvider {\n async connect() {\n // Custom connection logic\n }\n\n async generateSuggestions(context: CodeContext) {\n // Custom AI integration\n }\n}\n\n// Register custom MCP\nMCPRegistry.register('custom-ai', CustomMCP)\n```\n\n## 配置\n\n该工具可以通过环境变量或配置文件进行配置：\n\n* Windows： `%LOCALAPPDATA%\\cursor-mcp\\config\\config.json`\n* macOS： `~/Library/Application Support/cursor-mcp/config/config.json`\n* Linux： `~/.config/cursor-mcp/config.json`\n\n示例配置：\n\n```json\n{\n \"mcp\": {\n \"claude\": {\n \"enabled\": true,\n \"apiKey\": \"${CLAUDE_API_KEY}\",\n \"contextWindow\": 100000\n },\n \"providers\": {\n \"github-copilot\": {\n \"enabled\": true,\n \"auth\": \"${GITHUB_TOKEN}\"\n }\n }\n },\n \"autoStart\": true,\n \"maxInstances\": 4,\n \"windowArrangement\": \"grid\",\n \"logging\": {\n \"level\": \"info\",\n \"file\": \"cursor-mcp.log\"\n }\n}\n```\n\n## 安装\n\n### 视窗\n\n```powershell\n# Run as Administrator\nInvoke-WebRequest -Uri \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-windows.zip\" -OutFile \"cursor-mcp.zip\"\nExpand-Archive -Path \"cursor-mcp.zip\" -DestinationPath \".\"\n.\\windows.ps1\n```\n\n### macOS\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-macos.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./macos.sh\n```\n\n### Linux\n\n```bash\n# Run with sudo\ncurl -L \"https://github.com/your-org/cursor-mcp/releases/latest/download/cursor-mcp-linux.zip\" -o \"cursor-mcp.zip\"\nunzip cursor-mcp.zip\nsudo ./linux.sh\n```\n\n## 用法\n\n### 基本用法\n\n```typescript\nimport { CursorInstanceManager } from 'cursor-mcp'\n\n// Get the instance manager\nconst manager = CursorInstanceManager.getInstance()\n\n// Start a new Cursor instance\nawait manager.startNewInstance()\n\n// Get all running instances\nconst instances = await manager.getRunningInstances()\n\n// Focus a specific instance\nawait manager.focusInstance(instances[0])\n\n// Close all instances\nawait manager.closeAllInstances()\n```\n\n### 窗口管理\n\n```typescript\nimport { WindowManager } from 'cursor-mcp'\n\nconst windowManager = WindowManager.getInstance()\n\n// Find all Cursor windows\nconst windows = await windowManager.findCursorWindows()\n\n// Focus a window\nawait windowManager.focusWindow(windows[0])\n\n// Arrange windows side by side\nawait windowManager.arrangeWindows(windows, 'sideBySide')\n\n// Minimize all windows\nfor (const window of windows) {\n await windowManager.minimizeWindow(window)\n}\n```\n\n### 输入自动化\n\n```typescript\nimport { InputAutomationService } from 'cursor-mcp'\n\nconst inputService = InputAutomationService.getInstance()\n\n// Type text\nawait inputService.typeText('Hello, World!')\n\n// Send keyboard shortcuts\nif (process.platform === 'darwin') {\n await inputService.sendKeys(['command', 'c'])\n} else {\n await inputService.sendKeys(['control', 'c'])\n}\n\n// Mouse operations\nawait inputService.moveMouse(100, 100)\nawait inputService.mouseClick('left')\nawait inputService.mouseDrag(100, 100, 200, 200)\n```\n\n## 工作原理\n\n### 桥梁建筑\n\n此工具充当 Cursor 和 MCP 服务器之间的中间件层：\n\n1. **光标集成**：\n\n * 监视 Cursor 的文件系统事件\n * 捕获编辑器状态和上下文\n * 将响应注入编辑器\n * 管理窗口和流程自动化\n\n2. **MCP 协议转换**：\n\n * 将 Cursor 的内部事件转换为 MCP 协议消息\n * 将 MCP 响应转换为与 Cursor 兼容的操作\n * 维护会话状态和上下文\n * 处理身份验证和安全\n\n3. **服务器通信**：\n\n * 连接到 Claude 的桌面应用程序 MCP 服务器\n * 将请求路由到适当的 AI 提供商\n * 管理与多个 MCP 的并发连接\n * 处理回退和错误恢复\n\n```mermaid\ngraph LR\n A[Cursor Editor] <--> B[Cursor MCP Bridge]\n B <--> C[Claude Desktop MCP]\n B <--> D[GitHub Copilot MCP]\n B <--> E[Custom AI MCPs]\n```\n\n### 示例工作流程\n\n1. **代码完成请求**：\n\n ```typescript\n // 1. Cursor Event (File Change)\n // When user types in Cursor:\n function calculateTotal(items) {\n // Calculate the total price of items| <-- cursor position\n\n // 2. Bridge Translation\n const event = {\n type: 'completion_request',\n context: {\n file: 'shopping-cart.ts',\n line: 2,\n prefix: '// Calculate the total price of items',\n language: 'typescript',\n cursor_position: 43\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('generate_completion', {\n prompt: event.context,\n max_tokens: 150,\n temperature: 0.7\n })\n\n // 4. Response Translation\n // Bridge converts MCP response:\n const response = `return items.reduce((total, item) => {\n return total + (item.price * item.quantity);\n }, 0);`\n\n // 5. Cursor Integration\n // Bridge injects the code at cursor position\n ```\n\n2. **代码重构**：\n\n ```typescript\n // 1. Cursor Event (Command)\n // User selects code and triggers refactor command\n const oldCode = `\n if (user.age >= 18) {\n if (user.hasLicense) {\n if (car.isAvailable) {\n rentCar(user, car);\n }\n }\n }\n `\n\n // 2. Bridge Translation\n const event = {\n type: 'refactor_request',\n context: {\n selection: oldCode,\n command: 'simplify_nesting'\n }\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('refactor_code', {\n code: event.context.selection,\n style: 'simplified',\n maintain_logic: true\n })\n\n // 4. Response Translation\n const response = `\n const canRentCar = user.age >= 18 \n && user.hasLicense \n && car.isAvailable;\n \n if (canRentCar) {\n rentCar(user, car);\n }\n `\n\n // 5. Cursor Integration\n // Bridge replaces selected code\n ```\n\n3. **多文件上下文**：\n\n ```typescript\n // 1. Cursor Event (File Dependencies)\n // When user requests help with a component\n\n // 2. Bridge Translation\n const event = {\n type: 'context_request',\n files: {\n 'UserProfile.tsx': '...',\n 'types.ts': '...',\n 'api.ts': '...'\n },\n focus_file: 'UserProfile.tsx'\n }\n\n // 3. MCP Protocol Message\n await mcpServer.call('analyze_context', {\n files: event.files,\n primary_file: event.focus_file,\n analysis_type: 'component_dependencies'\n })\n\n // 4. Response Processing\n // Bridge maintains context across requests\n ```\n\n### 积分方法\n\n1. **文件系统监控**：\n\n ```typescript\n import { FileSystemWatcher } from 'cursor-mcp/watcher'\n\n const watcher = new FileSystemWatcher({\n paths: ['/path/to/cursor/workspace'],\n events: ['change', 'create', 'delete']\n })\n\n watcher.on('change', async (event) => {\n const mcpMessage = await bridge.translateEvent(event)\n await mcpServer.send(mcpMessage)\n })\n ```\n\n2. **窗口集成**：\n\n ```typescript\n import { CursorWindow } from 'cursor-mcp/window'\n\n const window = new CursorWindow()\n\n // Inject AI responses\n await window.injectCode({\n position: cursorPosition,\n code: mcpResponse.code,\n animate: true // Smooth typing animation\n })\n\n // Handle user interactions\n window.onCommand('refactor', async (selection) => {\n const mcpMessage = await bridge.createRefactorRequest(selection)\n const response = await mcpServer.send(mcpMessage)\n await window.applyRefactoring(response)\n })\n ```\n\n3. **上下文管理**：\n\n ```typescript\n import { ContextManager } from 'cursor-mcp/context'\n\n const context = new ContextManager()\n\n // Track file dependencies\n await context.addFile('component.tsx')\n await context.trackDependencies()\n\n // Maintain conversation history\n context.addMessage({\n role: 'user',\n content: 'Refactor this component'\n })\n\n // Send to MCP server\n const response = await mcpServer.send({\n type: 'refactor',\n context: context.getFullContext()\n })\n ```\n\n## 安全\n\n* 基于令牌的安全 AI 服务身份验证\n* 加密通信渠道\n* 沙盒执行环境\n* 细粒度的权限控制\n\n## 要求\n\n### 视窗\n\n* Windows 10 或更高版本\n* Node.js 18 或更高版本\n* 安装的管理员权限\n\n### macOS\n\n* macOS 10.15 (Catalina) 或更高版本\n* Node.js 18 或更高版本\n* Xcode 命令行工具\n* 终端的辅助功能权限\n\n### Linux\n\n* X11显示服务器\n* Node.js 18 或更高版本\n* xdotool\n* libxtst-dev\n* libpng++-dev\n* 构建必需\n\n## 发展\n\n### 设置\n\n```bash\n# Clone the repository\ngit clone https://github.com/your-org/cursor-mcp.git\ncd cursor-mcp\n\n# Install dependencies\nnpm install\n\n# Build the project\nnpm run build\n\n# Run tests\nnpm test\n```\n\n### 运行测试\n\n```bash\n# Run all tests\nnpm test\n\n# Run specific test suite\nnpm test -- window-management\n\n# Run with coverage\nnpm run test:coverage\n```\n\n## 贡献\n\n欢迎大家贡献！详情请参阅我们的[贡献指南](CONTRIBUTING.md)。\n\n## 执照\n\n该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅[LICENSE](LICENSE)文件。\n\n## 支持\n\n* 📚[文档](https://your-org.github.io/cursor-mcp)\n* 🐛[问题追踪器](https://github.com/your-org/cursor-mcp/issues)\n* 💬[讨论](https://github.com/your-org/cursor-mcp/discussions)\n* 🔒[安全](SECURITY.md)\n\n## 致谢\n\n* [Cursor Editor](https://cursor.sh) - AI-first 代码编辑器\n* [Claude AI](https://anthropic.com/claude) - 高级人工智能助手\n* [@nut-tree/nut-js](https://github.com/nut-tree/nut-js) - 跨平台自动化\n* [active-win](https://github.com/sindresorhus/active-win) - 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