resolve-mcp
Provides an AI assistant with 132 tools to control DaVinci Resolve Studio on macOS, enabling project management, media handling, timeline editing, color grading, rendering, and Fusion compositing through natural language commands.
README
resolve-mcp
An MCP server that gives an AI assistant control of DaVinci Resolve Studio on macOS.
132 tools across projects, media, timelines, colour, rendering and Fusion — plus
resolve_exec for anything the curated tools miss, and resolve_ui for the handful of
operations Blackmagic never exposed to scripting at all.
"Import this folder, build a timeline in filename order, add a marker at every
scene cut, then queue ProRes and H.264 renders and tell me when they're done."
Install
Requires macOS, DaVinci Resolve Studio (external scripting is a Studio feature), Python 3.13+ and uv.
git clone https://github.com/irstone-source/resolve-mcp.git
cd resolve-mcp
uv sync
uv run python scripts/smoke.py # verify the connection before wiring anything up
Then register with Claude Code:
claude mcp add resolve -- uv run --directory /absolute/path/to/resolve-mcp resolve-mcp
One manual step, once. In Resolve: Preferences → System → General → External scripting using:
Local. No API can set it, and without it nothing works. Full detail in docs/SETUP.md.
Documentation
| Setup | Requirements, permissions, headless mode |
| Tool reference | All 132 tools and 6 resources, generated from the server |
| Architecture | How it works and why it's built this way |
| Troubleshooting | Failure modes and Resolve's undocumented behaviour |
| Development | Adding tools, testing, conventions |
How to drive it
Reach for capabilities in this order:
- A curated tool —
project_*,media_*,timeline_*,track_*,marker_*,clip_*,lut_*,render_*,fusion_*. Typed, validated, with actionable errors. resolve_exec— arbitrary Python against the live connection, for the long tail of the API. The installed scripting reference is served as MCP resources, so calls are written against real signatures rather than recalled ones.resolve_ui— AppleScript menu clicks and keystrokes. Only where no API exists.
Handles
Resolve returns live objects that can't be sent as JSON, so clips, timeline items, folders and stills pass between calls as handles:
clip:1a2b3c a media pool clip
item:0091 a clip on a timeline
folder:root a bin
timeline:4f2a a timeline
still:2b70 a gallery still
Objects returned by resolve_exec get handles too, so escape-hatch code composes with the
curated tools.
Every tool returns the same envelope
{ "ok": true, "data": { ... } }
{ "ok": false, "error": "No timeline is currently open",
"hint": "Create a timeline with timeline_create, or select one with timeline_set_current." }
The Resolve API signals failure by returning bare False or None with no explanation.
This server converts each known cause into a named condition with a remedy, so a failed
call tells you what to do next instead of merely that something went wrong.
What it's good at
Repetitive and generative work: batch operations across many clips or timelines, conforming, marker-driven assembly, and querying an edit as data. It reads a timeline as structured information — every clip with its in/out, duration, track position and metadata.
What it can't do is exercise visual judgement. It sees metadata, not pictures, unless you ask it to render a still and look at one.
Notable behaviour it works around
scriptapp()blocks forever when Resolve is running but refuses a connection — inside C, without releasing the GIL, so no signal or thread timeout recovers it. Every connection is probed in a killable subprocess first.AddRenderJobreturns'', notFalse, when it declines — so an empty job id would otherwise be handed back as success.- Resolve's dialogs are invisible to macOS Accessibility (they're Qt-drawn), and a modal blocks scripting while open. Tools validate inputs client-side rather than provoking one.
- Unknown render setting keys are silently ignored, making a typo look like success. Keys are validated against the installed reference.
More in docs/TROUBLESHOOTING.md.
Development
uv run pytest # 195 unit tests, no Resolve needed
uv run pytest -m live # integration suite against real Resolve
uv run ruff check . && uv run ruff format .
Unit tests run against an in-memory double shaped like the real API, so the suite needs no
Resolve installation and no application state to reset. The live suite works inside a
throwaway MCP_TEST_<pid> project and restores whatever project was open.
Status
Verified against DaVinci Resolve Studio 21.0.2.4 on macOS. 195 unit tests and 13 live integration tests passing.
Licence
MIT — see LICENSE.
Not affiliated with or endorsed by Blackmagic Design. DaVinci Resolve is a trademark of Blackmagic Design Pty Ltd.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.