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.
Borrowing it
Nothing to install: this file belongs to samuelgursky/davinci-resolve-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/samuelgursky/davinci-resolve-mcp/main/.agents/skills/resolve-mcp/SKILL.mdgit 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/skills/samuelgursky/davinci-resolve-mcp/resolve-mcp)<a href="https://agentmods.dev/skills/samuelgursky/davinci-resolve-mcp/resolve-mcp"><img src="https://agentmods.dev/badge/skills/samuelgursky/davinci-resolve-mcp/resolve-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/samuelgursky/davinci-resolve-mcp/resolve-mcp"><img src="https://agentmods.dev/badge/skills/samuelgursky/davinci-resolve-mcp/resolve-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00125 | $0.01472 |
| Opus 5 | $0.00063 | $0.00736 |
| Sonnet 5 | $0.00025 | $0.00294 |
| Haiku 4.5 | $0.00013 | $0.00147 |
Grade A, and why
resolve-mcp 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DaVinci Resolve MCP — Index
Orientation for any Resolve MCP task. This is the map, not the depth — each
domain skill below carries its own routing and triggers on its own description.
Open the one that matches, or use this when a task spans several domains. This
skill does not auto-load the others; it points at them.
Two servers — compute offline, apply live
- Live —
davinci-resolve(Python): drives a running Resolve via the scripting API. - Advanced / offline —
davinci-resolve-advanced(Node): authors.drp/.drt/.drxfiles and patches the project DB with no Resolve open.
Rule of thumb: compute grades, QC, and conform math offline; apply the result live. Node never drives Resolve.
Domains
| Task | Skill | Kernel | Any-MCP-client prompt |
|---|---|---|---|
| Grading, looks, shot match, LUT/CDL/DRX | resolve-color |
color-grade-kernel.md |
/color_grade_workflow |
| Cutting, trimming, ranges, variants, changelist | resolve-edit |
timeline-edit-kernel.md |
/timeline_edit_workflow |
| Conform, relink, finishing QC, grade tracing | resolve-conform |
timeline-conform-interchange-kernel.md |
/conform_workflow |
| Render, deliverable QC, media/provenance | resolve-delivery |
render-deliver-kernel.md |
/delivery_workflow |
| Fusion comps (titles, MG, VFX) | resolve-fusion |
fusion-composition-kernel.md |
/fusion_workflow |
| Audio / Fairlight (tracks, buses, loudness) | resolve-audio |
audio-fairlight-kernel.md |
/audio_workflow |
| Media pool ingest / organize / multicam | resolve-media-pool |
media-pool-ingest-kernel.md |
/media_pool_workflow |
| Reading/analyzing source media | resolve-media-analysis |
media-analysis-guide.md |
/analyze_media |
Less-common domains (no dedicated skill — go straight to the kernel/tool)
These have real coverage but low enough traffic that they route through this index rather than their own skill:
- Project lifecycle — create/export/import/archive/restore projects,
databases, settings, presets:
project_managercompound tool →docs/kernels/project-lifecycle-kernel.md. Offline DB read/patch: advancedproject_read/project_db(project CLOSED + quit/relaunch). - Review / annotations — timeline markers, review reports, annotation
copy/move/scope:
timeline_markers→docs/kernels/review-annotation-kernel.md. Offline audit/lineage: advancedprovenance. - Extension authoring — install/remove Fuse/DCTL/Lua-Python plugins:
script_plugin→docs/kernels/extension-authoring-kernel.md,docs/authoring/. - Pipeline (DB-as-truth) — YAML-authored canonical project DB, staged runs
with gates + provenance + drift: advanced
pipelinetool →resolve-advanced/README.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.
- 11d ago First seen · 103 lines · 125 tokens per session scan A 4b26dcb21157
resolve-mcp is a skill published in the GitHub repository samuelgursky/davinci-resolve-mcp (2,622 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 1,472 once invoked, about $0.0006 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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