davinci-resolve-mcp is an MCP server that lets AI assistants control DaVinci Resolve Studio through its scripting API, including editing, media organization, rendering, grading, and other project tasks. It is for users who want agents to operate Resolve and inspect media through a local control panel. The catalogue entries support agent workflows for this Resolve integration.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/samuelgursky/davinci-resolve-mcp/cursorrulesgit clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/samuelgursky/davinci-resolve-mcp/cursorrules)<a href="https://agentmods.dev/rules/samuelgursky/davinci-resolve-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/samuelgursky/davinci-resolve-mcp/cursorrules.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00715 | $0.00715 |
| Opus 5 | $0.00358 | $0.00358 |
| Sonnet 5 | $0.00143 | $0.00143 |
| Haiku 4.5 | $0.00072 | $0.00072 |
Grade A, and why
cursorrules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- cursorrules — 91% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 21 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DaVinci Resolve MCP — agent rules
This is the DaVinci Resolve MCP server: a Python MCP server (36 compound tools, 353 granular in --full mode) driving Resolve via its scripting API, plus an offline Node "advanced" server (18 tools) that authors .drp/.drt/.drx files and patches the project DB with no Resolve running. Kernel coverage: 136 guarded workflow actions.
- Canonical agent brief: AGENTS.md. Operating reference: docs/SKILL.md. Per-action depth: docs/kernels/*. Advanced (offline) catalog: resolve-advanced/README.md.
- Never modify, transcode, convert, proxy, relink, or create derivatives of source media unless explicitly asked. Analysis output goes to sidecars/scratch/the analysis project root.
- Do not duplicate version numbers, tool counts, or kernel-action counts into prose — they drift. Reference the docs above.
Domain routing
On demand in any MCP client via slash prompts; full depth in docs/kernels/*:
- Color / Grade (/color_grade_workflow) — grading, correcting, shot matching, developing looks, or applying/modifying LUTs, CDLs, DRX grades, or copied grades. Depth: docs/kernels/color-grade-kernel.md + docs/guides/color-decision-guide.md.
- Timeline Edit (/timeline_edit_workflow) — cutting, trimming, pacing, duplicating/moving clips, copying ranges, building variants, tightening a cut, or generating an editorial changelist. Depth: docs/kernels/timeline-edit-kernel.md + docs/guides/editorial-decision-guide.md.
- Conform / Interchange (/conform_workflow) — importing/relinking editorial, checking a conform against a reference, repairing reversed/retimed subclips, tracing grades across a re-conform, or QCing a conformed timeline. Depth: docs/kernels/timeline-conform-interchange-kernel.md.
- Delivery / Deliverable QC (/delivery_workflow) — preparing render jobs, validating render settings, QCing a finished render vs spec, building render manifests, expanding texted/textless/stems deliverables, verifying media ingest, or producing a provenance/episode report. Depth: docs/kernels/render-deliver-kernel.md.
- Fusion Composition (/fusion_workflow) — building or editing Fusion comps — titles, motion graphics, VFX, merges, masks, trackers. Depth: docs/kernels/fusion-composition-kernel.md.
- Audio / Fairlight (/audio_workflow) — setting audio properties, syncing audio, isolating voice, generating subtitles, planning Fairlight tracks/buses, checking loudness, routing buses, or splitting/trimming/converting audio. Depth: docs/kernels/audio-fairlight-kernel.md.
- Media Pool / Ingest (/media_pool_workflow) — importing media, building multicam timelines, organizing/relinking clips, normalizing metadata, or verifying/inventorying a card before ingest. Depth: docs/kernels/media-pool-ingest-kernel.md + docs/guides/multicam-setup-guide.md.
- Media Analysis (/analyze_media) — reading or analyzing source media (technical, visual, or transcription) to inform Resolve actions. Depth: docs/kernels/README.md + docs/guides/media-analysis-guide.md.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 21 lines · 715 tokens per session scan A 8e2e5f3a76df
cursorrules is a cursor rule published in the GitHub repository samuelgursky/davinci-resolve-mcp (2,387 stars, last pushed yesterday), licensed MIT. It adds 715 tokens to every session, about $0.0036 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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