DaVinci MCP Professional

DaVinci MCP Professional v2.1.0

A modern, professional implementation of a Model Context Protocol server for DaVinci Resolve integration. This project is a hard/project fork from the excellent work done by @samuelgursky at https://github.com/samuelgursky/davinci-resolve-mcp. It's an independent project now due to major overhaul and restructuring making it incompatible with the original repo. DaVinci MCP Professional is a fully enterprise-grade implementation of an MCP specifically designed expose the full range of functionality either DaVinci Resolve or DaVinci Resolve Studio to an MCP client. Supported clients include both Claude Desktop (preferred) or Cursor.

What Makes This Professional

This is a complete architectural rewrite and cleanup of existing DaVinci Resolve MCP implementations:

Clean Architecture: Proper separation of concerns between MCP protocol and DaVinci Resolve API
Modern Python: Uses current best practices with type hints, async/await, and comprehensive error handling
Simplified Setup: Single command installation with automatic dependency management
Windows Compatible: Proper encoding handling and console output for Windows environments
Standardized Dependencies: Uses uv for fast, reliable dependency management
Comprehensive Testing: Built-in test suite to verify functionality
Production Ready: Clean codebase suitable for professional environments

Architecture Highlights

This implementation emphasizes:

Reliability: Comprehensive error handling and graceful failure modes
Maintainability: Clean separation of concerns and modular design
Performance: Efficient async/await patterns and minimal overhead
Compatibility: Cross-platform support with Windows-specific optimizations
Professional Standards: Proper logging, testing, and documentation

Usage

See USING located elsewhere in this repo.

Getting Help

See BUGS located elsewhere in this repo.

License

See COPYING located elsewhere in this repo.

Contributing

See CONTRIBUTING located elsewhere in this repo.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

A professional implementation of a Model Context Protocol server that enables integration between DaVinci Resolve video editing software and AI assistants like Claude Desktop or Cursor.

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