flamexnreal/davinci-resolve-ai-bridge-mcp

Overview

An MCP server that connects DaVinci Resolve (Free and Studio) to AI assistants like Claude, Cursor, Codex, and Antigravity. It exposes tools for full timeline editing, cuts, camera zoom, and color grading through the Model Context Protocol. Written in Python, it acts as a bridge between AI models and the video editing software.

Best for

Best for
Video editors and developers who want to control DaVinci Resolve through AI assistants.

Use cases

• Automate timeline edits and cuts via natural language prompts
• Apply color grading adjustments through AI assistant commands
• Control camera zoom and other editing operations from coding tools

How to use

Install

npx davinci-resolve-ai-bridge-mcp

Tools exposed

• timeline_frame
• timeline_audio
• project_health
• split_clip
• insert_title

Tested with

Cursor, ChatGPT

Notes

An MCP server that connects DaVinci Resolve (Free and Studio) to AI assistants like Claude, Cursor, Codex, and Antigravity. It exposes tools for full timeline editing, cuts, camera zoom, and color grading through the Model Context Protocol. Written in Python, it acts as a bridge between AI models and the video editing software.

23 stars on GitHub. Last updated 2026-09-07. Licensed MIT.

Use cases

• Automate timeline edits and cuts via natural language prompts
• Apply color grading adjustments through AI assistant commands
• Control camera zoom and other editing operations from coding tools

Pros

• Works with both free and Studio versions of DaVinci Resolve
• Supports multiple AI assistants including Claude and Cursor
• Open source with a Python codebase for customization

Cons

• Low adoption with only 23 GitHub stars
• Requires Python environment and MCP setup
• Limited documentation implied by early project stage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.