Claude Desktop
Anthropic's native AI assistant with local file access and MCP extensibility
Overview
Claude Desktop is Anthropic's official desktop application for macOS and Windows, bringing Claude's capabilities directly to your local environment. Unlike the web interface, Claude Desktop can access local files, run MCP servers, and integrate deeply with your workflow.
Key differentiator: Claude Desktop serves as the control plane for MCP (Model Context Protocol), enabling Claude to connect with databases, APIs, file systems, and custom tools through a standardized protocol. This transforms Claude from a chat assistant into an extensible AI platform.
With the latest updates, Claude Desktop supports computer use (beta), allowing Claude to see your screen, move the mouse, and interact with applications—bridging the gap between AI assistance and autonomous action.
Key Features
Use Cases
Knowledge Work
- Analyzing local documents, spreadsheets, and codebases
- Research synthesis across multiple files and sources
- Writing assistance with access to reference materials
Development Workflows
- Code review with full repository context via MCP
- Database queries and analysis through connected MCP servers
- Documentation generation from local code and specs
Business Operations
- Report generation combining local data with AI analysis
- Email drafting with context from CRM (via MCP)
- Meeting preparation with access to notes and documents
Creative Work
- Design iteration with artifact previews
- Content creation with brand guidelines access
- Prototype development with instant code previews
Considerations
- MCP configuration requires editing JSON files—not user-friendly for non-technical users
- Computer use is powerful but requires supervision; actions are immediate and irreversible
- No built-in strategic alignment—executes tasks without organizational context
- File access permissions are broad; no granular controls for sensitive directories
- Team features require separate Claude for Work subscription
- MCP servers run locally, consuming system resources for each active integration
