davinci-resolve-mcp-free

davinci-resolve-mcp-free

Enables AI assistants to control DaVinci Resolve (Free and Studio) through natural language, providing 162 tools for timeline editing, color grading, rendering, and more. Includes local AI replacements for Studio-only features like voice isolation, background removal, and transcription.

Category
Visit Server

README

🎬 DaVinci Resolve MCP Bridge

The only MCP server for DaVinci Resolve that works on the Free version.

"Add a marker at 5 seconds." "Transcribe my timeline." "Remove the background from clip 1." "Render to MP4."

Just talk to your AI assistant. It controls Resolve for you.

Free + Studio Tools AI License


🤔 What Is This?

This project lets AI assistants like Cursor, Claude, or Windsurf control DaVinci Resolve through natural language. Instead of clicking through menus, you just tell the AI what to do — and it does it.

Think of it like giving your AI assistant a pair of hands inside DaVinci Resolve.


⚡ What Makes This Different?

Every other DaVinci Resolve MCP server requires the $295 Studio version because they use "external scripting" — a feature Blackmagic locks behind the paywall.

This project works around that entirely.

Instead of calling Resolve from the outside, a small bridge script runs inside Resolve (through the Scripts menu, which is available to everyone). That bridge opens a local connection, and the MCP server talks to it. Simple — and it works on the Free version.

Your AI Assistant (Cursor, Claude, etc.)
         │
         │  talks MCP
         ▼
  resolve_mcp_bridge.py     ← runs on your machine
         │
         │  talks HTTP (localhost)
         ▼
  CursorBridge.py           ← runs INSIDE Resolve (Workspace > Scripts)
         │
         ▼
  DaVinci Resolve API       ← full read + write access

155 of 162 tools work on Free. The 7 that don't are Studio's Neural Engine features — and for each one, this project includes a free, local AI replacement that runs on your CPU.


🧠 Built-In AI That Replaces $295 Studio Features

No API keys. No cloud. No subscriptions. These run locally on your machine using open-source models:

You'd normally need Studio for... This gives you instead Powered by
🎤 Voice Isolation Separate vocals from music/noise Demucs v4 by Meta
✂️ Background Removal Remove backgrounds from images & video rembg + BiRefNet
📝 Auto Subtitles Transcribe audio with word-level timestamps faster-whisper (OpenAI Whisper)

Models download automatically on first use. Everything runs on CPU — no GPU required.


🎛️ 162 Tools Across Every Feature of Resolve

This isn't a demo with 5 tools. It covers the entire DaVinci Resolve experience:

Area What you can do
Timeline Create, rename, duplicate, switch timelines. Add/remove clips. Insert at specific frames. Delete with ripple.
Clips Set color, opacity, zoom, pan, tilt, rotation, crop, flip, composite mode, scaling. Enable/disable.
Markers & Flags Add/delete colored markers with notes on timelines and individual clips. Manage flags.
Media Pool Import files, browse folders, move/delete/relink clips, auto-sync audio, export metadata.
Color Grading Apply LUTs, set CDL values, copy grades between clips, manage color versions and groups, reset grades.
Fusion List, add, import, export, delete, load, rename Fusion compositions on any clip.
Rendering Configure settings, set format/codec, manage the render queue, start/stop rendering, quick export.
Titles Insert Text+, generators, and Fusion compositions directly onto the timeline.
Audio Apply Fairlight presets, insert audio at playhead, voice isolation (per-track and per-clip).
Gallery Create albums, grab stills, export/import stills, set labels.
Tracks Add, delete, rename, lock/unlock, enable/disable video/audio/subtitle tracks.
Project Management List, create, load, delete, archive, export, import projects. Switch databases.
AI Tools Transcribe audio, isolate vocals, remove backgrounds — all locally, no Studio required.

🚀 Getting Started

What You Need

  • DaVinci Resolve 18+ (Free or Studio — both work)
  • Python 3.9+ on the same machine as Resolve
  • Cursor, Claude Desktop, or any MCP-compatible AI assistant

Step 1 — Install the bridge script inside Resolve

Copy src/CursorBridge.py to your Resolve scripts folder:

Platform Path
Windows %APPDATA%\Blackmagic Design\DaVinci Resolve\Support\Fusion\Scripts\Utility\
macOS ~/Library/Application Support/Blackmagic Design/DaVinci Resolve/Fusion/Scripts/Utility/
Linux ~/.local/share/DaVinciResolve/Fusion/Scripts/

Step 2 — Set up the MCP server

git clone https://github.com/MDizzleZA/davinci-resolve-mcp-free.git
cd davinci-resolve-mcp-free
python -m venv venv
source venv/bin/activate   # Windows: venv\Scripts\activate
pip install -r requirements.txt

Step 3 — Tell your AI assistant about it

Add to your .cursor/mcp.json (or equivalent):

{
  "mcpServers": {
    "davinci-resolve": {
      "command": "python",
      "args": ["path/to/davinci-resolve-mcp/src/resolve_mcp_bridge.py"]
    }
  }
}

<details> <summary><strong>Windows + WSL setup</strong> (Cursor in WSL, Resolve on Windows)</summary>

{
  "mcpServers": {
    "davinci-resolve": {
      "command": "cmd.exe",
      "args": ["/c", "C:\\path\\to\\venv\\Scripts\\python.exe", "C:\\path\\to\\src\\resolve_mcp_bridge.py"]
    }
  }
}

</details>

Step 4 — Start using it

  1. Open DaVinci Resolve
  2. Go to Workspace → Scripts → CursorBridge
  3. Console shows: Bridge is running (read + write)
  4. Talk to your AI assistant — it now controls Resolve

💬 Things You Can Say

"What's on my timeline right now?"
"Import these files into the media pool"
"Add a green marker at 5 seconds called 'intro ends'"
"Insert a Text+ title at the playhead"
"Set the first clip on track 2 to 70% opacity"
"Zoom in clip 1 to 120% and shift it left"
"Transcribe my timeline audio"
"Isolate the vocals from my timeline"
"Remove the background from clip 1 on video track 1"
"Apply this LUT to node 1 of the current clip"
"Set up an MP4 H.265 render and start it"
"Export the timeline as FCPXML"
"Grab a still from the current frame"

🔁 Works With the Full Pipeline

This is one piece of a three-server video production setup:

Server What it does
This (DaVinci Resolve MCP) Controls Resolve — timelines, clips, color, rendering, local AI
mcp-image-gen Generates images locally (backgrounds, textures, overlays) — no API keys
Video Editor MCP File-based video processing (ffmpeg, overlays, transitions) — no Resolve needed

The AI assistant orchestrates across all three automatically. Generate an image → import into Resolve → place on timeline → adjust properties — all from a single conversation.


📋 Free vs Studio Compatibility

Feature Studio Free + This Project
Timeline editing, clips, markers
Color grading, LUTs, CDL
Rendering, export
Media pool, project management
Fusion compositions
Gallery & stills
Voice Isolation ✅ Neural Engine ✅ Demucs v4 (local)
Background Removal ✅ Magic Mask ✅ rembg/BiRefNet (local)
Auto Subtitles ✅ Neural Engine ✅ faster-whisper (local)
Smart Reframe
Stabilization

155/162 tools work on Free. The 5 that don't have local AI replacements. Only 2 have no alternative (Smart Reframe, Stabilization).


⚠️ Limitations

  • Keyframe animations — the scripting API only supports static property values, not animated keyframes
  • Fusion node parameters — text content and effect values inside compositions need the Fusion page UI
  • Transitions — must be added manually from the Effects Library
  • Background removal on video — CPU-bound, can be slow for long clips
  • Gallery stills — require being on the Color page

🛠️ Developer notes (v2.1.0)

Version pairing

CursorBridge.BRIDGE_VERSION and resolve_mcp_bridge.EXPECTED_BRIDGE_VERSION must match. Bump both together on every wire-protocol change. resolve(action="status") reports the bridge version, the ffmpeg path, and a versionMismatch warning if they drift. Fix drift by re-running install.ps1 and re-launching the bridge in Resolve.

Install / update

powershell -ExecutionPolicy Bypass -File install.ps1

Copies src/CursorBridge.py into Resolve's Fusion Scripts\Utility folders. Re-run after every bridge change (stale copies are the #1 source of version drift), then Workspace > Scripts > Utility > CursorBridge.

Consolidated tools (context saving)

By default the MCP server exposes 17 grouped tools (resolve, project, media_pool, timeline, timeline_edit, tracks, clip, markers, takes, color, color_groups, gallery, fusion, fairlight, render, ai_local, metadata) instead of ~160 flat ones — each takes an action selector plus the params that action needs. Set RESOLVE_MCP_LEGACY_TOOLS=1 to also register the original flat tools (transition/debug).

Async jobs

Long local-AI ops (ai_local transcribe / voice_isolate / remove_background_video) default to async_job=true: they return a job_id immediately and run in a background thread. Poll with ai_local(action="job_status", job_id=...) or ai_local(action="list_jobs"). This avoids tripping the MCP client's tool-call timeout.

Configurable port

Set RESOLVE_BRIDGE_PORT on both sides (bridge + MCP server env) to move off 9876. RESOLVE_BRIDGE_LOG overrides the bridge's rotating log path.

Tests

venv\Scripts\python.exe -m unittest discover -s tests

Covers GET param encoding, connection-error tailoring, the version handshake, the async job state machine, and grouped-tool → endpoint routing.

Workflow skills

The grouped tools are designed to be driven by AI assistants directly, so you can build your own repeatable workflows (social clips, ad variants, podcast cleanup, timeline linting, render babysitting, project archiving) as prompts or Claude Code skills on top of them — no extra runtime needed.


🙏 Credits

This is a fork that extends earlier work by the DaVinci Resolve MCP community:

This fork adds: a consolidated 17-tool grouped API (from 160+ flat tools), an async job system for long-running local-AI operations, a version handshake, and a Windows installer.

📄 License

MIT. Original copyright © Hitesh Kandala (see LICENSE); fork modifications © 2026 Marcos Diez. Use it however you want.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured