DaVinci Resolve MCP

Name: DaVinci Resolve MCP
Author: samuelgursky

by samuelgursky

Control DaVinci Resolve video editor through AI — timeline, color grading, and rendering

design Python Intermediate Self-hostable No API key

⭐ 300 stars 📅 Updated: 1mo ago

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Description

MCP server that bridges AI assistants with DaVinci Resolve, the professional video editing suite. Manage timelines, apply color grading, import media, configure render settings, and control project configuration — all through natural language from your AI assistant. This server communicates with Resolve's scripting API to automate repetitive editing tasks, streamline post-production workflows, and enable AI-driven video editing. Ideal for editors who want to speed up their workflow by delegating technical tasks to AI while focusing on creative decisions.

✅ Best for

Video editors and post-production teams who want to automate DaVinci Resolve workflows through AI

⏭️ Skip if

You don't have DaVinci Resolve installed or prefer cloud-based editing

💡 Use cases

Automating timeline edits and clip arrangement through AI commands
Applying color grading presets and LUTs across multiple clips
Batch importing media files and organizing project bins
Configuring render settings and exporting final videos

👍 Pros

✓ Direct control of professional video editing software through AI
✓ No API key needed — works with locally installed DaVinci Resolve
✓ Automates repetitive post-production tasks
✓ Supports timeline, color, media, and render workflows

👎 Cons

✗ Requires DaVinci Resolve installed locally (free or Studio version)
✗ Limited by Resolve's scripting API capabilities
✗ Complex editing operations may require manual fine-tuning after AI automation

🔧 Exposed tools (6 tools)

Tool	Category	Description
import_media	asset-management	Import media files into the project media pool
set_color_grade	color	Apply color grading, LUTs, and color correction to clips
manage_timeline	editing	Create, modify, and arrange clips on the timeline
configure_render	export	Set render format, codec, resolution, and output settings
export_video	export	Start render and export the final video file
manage_project	project	Open, save, and configure project settings

⚡ Installation

Prerequisites:

• python v3.10+
• DaVinci Resolve installed locally

Check Claude Code documentation to configure this MCP server.

💡 Tips & tricks

Make sure DaVinci Resolve is running and a project is open before connecting. Start with simple timeline operations and gradually explore color grading and render automation as you get comfortable with the tool.

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