Davinci Resolve

DaVinci Resolve MCP Server

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A Model Context Protocol (MCP) server that lets AI assistants control DaVinci Resolve Studio through the official Scripting API. It provides full API coverage plus guarded workflow helpers for editing, media pool organization, render setup, review markers, grading, Fusion, Fairlight, project lifecycle tasks, extension authoring, and source-safe media analysis.

A local browser control panel ships with the server for inspecting Resolve state, running source-safe analysis, drilling into analyzed clips and shots, and editing analysis output inline. See the Control Panel Guide for the full tour.

Quick Start

npx davinci-resolve-mcp setup

Before connecting, open DaVinci Resolve Studio and set Preferences > General > External scripting using to Local. (On the free edition that preference does not help — see Free edition below.) The npm launcher installs a managed copy under your user application-data directory, then runs the universal Python installer. The installer creates a virtual environment, detects Resolve paths, and can configure Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, Continue, Cline, Roo Code, OpenCode, Codex CLI, and JetBrains IDEs.

For source installs:

git clone https://github.com/samuelgursky/davinci-resolve-mcp.git
cd davinci-resolve-mcp
python install.py

For platform paths, client-specific config, and manual setup, see Installation and Configuration.

The installer and server check the latest GitHub release for MCP updates. Checks are best-effort and throttled; the server never blocks MCP startup for a prompt. The installer can prompt, snooze, ignore a release, disable checks, or apply an opt-in safe auto-update for clean git checkouts.

Free edition (in-app bridge)

Blackmagic gates external scripting to Studio: on the free edition scriptapp("Resolve") refuses a foreign process, whatever the preference says. The Workspace ▸ Scripts menu is not gated — a script launched from it is handed the live resolve object on any edition — so the server can reach the free edition through a small script that runs inside Resolve and re-exports it over an authenticated loopback listener.

python scripts/install_resolve_bridge.py
# restart Resolve, open a project, then: Workspace > Scripts > resolve_bridge

Once that listener is running it is used automatically whenever external scripting is unavailable — no environment variable required. Setting DAVINCI_RESOLVE_BRIDGE=1 forces the bridge instead: it becomes the only transport tried, so a bridge that stops answering reports its own fault rather than quietly falling back to another transport. Use it when the bridge is the path you intend to depend on.

On macOS, Resolve looks for Python 3 in exactly two places: the PYTHON3HOME environment variable, then /usr/local/bin/python3. Homebrew, pyenv, uv and conda land in neither, so the script silently never appears in the menu. A python.org install works because its installer creates /usr/local/bin/python3 — but you do not need one: point Resolve at the interpreter you already have, no sudo required.

launchctl setenv PYTHON3HOME "$(python3 -c 'import sys; print(sys.prefix)')"

Use launchctl setenv, not export — Resolve is launched from the Dock and never sees your shell's environment. Restart Resolve afterwards. A Lua canary is installed alongside so you can tell "Python not detected" apart from a wrong folder.

Validated on free 21.0.3.7 and Studio 19.1.3.7, both macOS. The Windows paths added in v2.70.1 (issue #106) shipped unverified; reports on free 21.0.1.11 (issue #109) and free 21.0.3.7 (issue #112) have since shown the bridge installing, listing and serving from both %PROGRAMDATA% and %APPDATA% on Windows 11, so those paths are now confirmed rather than assumed. Linux is confirmed as well: a report on free 20.3.2.9 (issue #129, Fedora 43) shows the bridge installing to ~/.local/share/DaVinciResolve/Fusion/Scripts/Utility, listing against the system Python — Linux has none of this discovery problem — and serving end-to-end. No platform now rests on an assumption: macOS was validated directly, Windows and Linux on user reports.

Note that the bridge holds its port for as long as it serves. Before v2.70.3 a Windows bridge could outlive Resolve and block the next session's listener; if you are on an older build and a bridge stops answering, check for a stale fuscript.exe still holding the port.

This is the documented in-app path, not a licence circumvention, but Blackmagic could close it — treat it as a supported-until-it-is-not tier. Loopback only, HMAC-signed requests, one-use nonces.

Local Control Panel

Launch the single-user local control panel from the repository root:

venv/bin/python -m src.control_panel

The command starts a loopback-only server and opens the control panel in your browser at a URL that carries a per-launch access token (http://127.0.0.1:8765/#token=…) — use that exact URL; the panel refuses requests without it. To have an AI coding agent do this, ask: "Open the Resolve MCP control panel for this repo." Agents should use venv/bin/python -m src.control_panel unless your Python environment is already active. Persisted analysis jobs refresh the local search index automatically after successful slices; the manual Build Index action is for rebuilding from existing reports.

Server Modes

The compound server is recommended unless you specifically need the granular one-tool-per-method surface.

Advanced server — beyond the scripting API (optional, Node)

The same package ships a second, optional MCP server: davinci-resolve-advanced-mcp (bin bin/davinci-resolve-advanced-mcp.mjs). Where the Python server drives a live Resolve over the sanctioned scripting API, the advanced server does what the API can't — it reads and edits Resolve files (.drp / .drt / .drx) and applies DB/XML-level changes with no Resolve running, so it runs cloud or local. 18 tools: drp, drt, drx (per-clip grade codec plus a deterministic, offline grading/QC catalog — within-camera + cross-camera skin (v2 skin-line metric) + b-roll + neutral-patch WB matching, match-to-reference, saturation/black-balance, contrast-normalize, ASC CDL import, lossless grade-transfer + season-look authoring, named-LUT attach, scope reads + intent tags, verify-grade, display-referred frame extraction, broadcast-legal QC), offline_ref, conform (frame-oracle conform/relink QC + lineage), color_trace (carry grades across a re-conform), fusion, audio_plan, fairlight (bus routing), audio, project_read, project_db, pipeline (a DB-as-truth pipeline: compile YAML project specs into a canonical SQLite DB, then run stages with gates, provenance, and intent↔actual drift detection), capabilities, deliverable (deliverable QC / compliance), media (media front-end / AE ingest), editorial (editorial integrity / changelist), provenance (provenance / audit / episode report). It can also be consumed as a library (importable engine API), not just spawned as a server.

DRX grade writes are live-calibrated against Resolve Studio: grade params take Resolve's on-screen panel units by default (space: 'ui' | 'drx'), and the structural writes (power windows, qualifiers, HDR zones, HSL curves, ColorSlice, blur/key/motion-effects) are panel-readback-verified — per-control status in resolve-advanced/vendor/drx-parameters/CALIBRATION-STATUS.md. It also closes a UI-only gap: programmatic "Cleanup Node Graph" (drx relayout for one clip, project_db relayout_node_graphs for a whole project) — node layout tidied, grade content byte-preserved.

Add it alongside the live server (both ship in one npm install):

{
  "mcpServers": {
    "davinci-resolve": { "command": "<python>", "args": ["<path>/src/server.py"] },
    "davinci-resolve-advanced": { "command": "node", "args": ["<path>/bin/davinci-resolve-advanced-mcp.mjs"] }
  }
}

install.py prints both entries. The core is pure-JS/MIT with no required native modules; a few features need user-installed tools (ffmpeg for audio, sharp/better-sqlite3 for some paths) — call the capabilities tool for live status and install hints.

Bradford Post Assistant — managed application (closed beta)

The maintainers also build Bradford Post Assistant, a desktop application on top of this open foundation. Where the MCP servers give an agent hands, Post Assistant is the working copilot around them — an on-device AI assistant for post-production where client material never leaves the workstation:

• A post-production copilot — a desktop app that sits alongside DaVinci Resolve and watches the session live (timeline, grades, and frames — not just API calls), with an embedded AI assistant and agent runtime, local media analysis (transcription, frame analysis, editorial intelligence), and in-app conform QC.
• Memory — persistent, encrypted on-device assistant memory plus cross-episode learning mined from your pipeline's decoded facts (season-look drift, per-camera correction priors, hero-frame libraries, conform path-map reuse), with accumulation managed for you and a reviewed-insight workflow.
• Self-contained by design — Post Assistant wires everything itself: this MCP for Resolve control, the Bradford API for its extended services, and your choice of LLM provider. Nothing to configure by hand, no separate clients to manage, and the app keeps itself (and its bundled MCP) current with signed auto-updates.
• An extended professional toolset — grade surgery on live projects, 22+ adaptive grade families, a curated looks library, delivery-spec validation, editorial pacing/cleanup analysis, natural-language color direction, and Fusion composition authoring — delivered through the managed Bradford API.
• Production workflows — the raw tools composed into finished, real-world flows (turnover → conform → QC → delivery, season-look carry, episode reporting) with the guardrails and approvals a client-facing shop expects.

It is currently in closed beta — you can

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