Is DaVinci Professional easy to install and compatible with Windows?

Yes, it offers a simplified single-command installation using 'uv' for dependency management. It also features enhanced Windows compatibility for proper encoding and console output.

Which client applications does DaVinci Professional support?

It's designed to integrate with Model Context Protocol (MCP) clients, including Claude Desktop (preferred) and Cursor, enabling them to control DaVinci Resolve.

What is DaVinci Professional?

DaVinci Professional is a modern, enterprise-grade Model Context Protocol (MCP) server designed to expose the full functionality of DaVinci Resolve and DaVinci Resolve Studio to MCP clients like Claude for Windows or Cursor.

What makes DaVinci Professional suitable for professional use?

It features a complete architectural rewrite with clean separation of concerns, modern Python best practices (async/await, type hints), comprehensive testing, and production-ready reliability, maintainability, and performance.

DaVinci Professional

Name: DaVinci Professional
Author: Positronikal

byPositronikal

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API Development

Developer Tools

Exposes the full functionality of DaVinci Resolve and DaVinci Resolve Studio to MCP clients like Claude for Windows or Cursor.

DaVinci Professional is an enterprise-grade Model Context Protocol (MCP) server that provides a robust interface to DaVinci Resolve and DaVinci Resolve Studio for MCP clients such as Claude Desktop and Cursor. This project represents a significant architectural overhaul, emphasizing clean design, modern Python practices including async/await and type hints, and a simplified single-command installation. Built for reliability and maintainability, it features comprehensive error handling, cross-platform compatibility with Windows-specific optimizations, and a production-ready codebase with extensive testing and documentation, making it suitable for professional integration environments.

Key Features

01Comprehensive built-in test suite for verified functionality

02Modern Python implementation using async/await and type hints

03Enhanced Windows compatibility for encoding and console output

04Simplified single-command installation with uv dependency management

050 GitHub stars

06Clean Architecture with separation of concerns

Use Cases

01Integrating DaVinci Resolve with Claude Desktop for advanced control

02Enabling programmatic access and automation of DaVinci Resolve's full feature set

03Connecting DaVinci Resolve to Cursor MCP clients for workflow automation