Let any AI agent run DaVinci Resolve — MCP server with live Studio control, free-edition FCPXML/LUT workflows, reference color matching, beat-aware music cuts, dialogue tightening, broadcast-loudness
Let any AI agent run DaVinci Resolve for you — Claude Code, Codex, Cursor, Hermes, or any MCP client. Cut clips to the beat, match a reference look, tighten dialogue, hit a loudness spec, and build timelines — either by driving Resolve Studio live, or by generating clean import files for the free edition.
A flat log-ish grade (BEFORE) matched to a warm reference frame (REFERENCE) → the MATCHED result, baked to a 33-point .cube LUT. Real output from the colormatch engine on a single desert-dance frame.
You describe the edit in plain language; your agent calls the tools. The server does the deterministic, numeric work an LLM shouldn't guess at — beat grids, LUT math, EBU R128 loudness, FCPXML — and hands back files and plans you can trust. No cloud rendering, no black boxes: every engine is stdlib + numpy + ffmpeg, and every mutating tool previews before it touches anything.
The server detects at startup whether it can drive a running DaVinci Resolve Studio (verified on Studio 21) or should fall back to interchange files. resolvecapabilities tells you which tier you're in and why.
Capability Resolve Studio — live Free Resolve / not running — interchange --------- How it works Drives the running app via the scripting API Writes files you import in one action Build & edit timelines Directly in the app FCPXML 1.9 / EDL → File ▸ Import ▸ Timeline Markers Inserted live Marker CSV, or embedded in the FCPXML Color grades & LUTs Applied per clip via the API Bake a .cube LUT and drop it on the node Renders Queue and start jobs Use Resolve's own export Probe, beat grid, music cut,
From the project README.
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Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
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