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-media-pool/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-media-pool)<a href="https://agentmods.dev/skills/samuelgursky/davinci-resolve-mcp/resolve-media-pool"><img src="https://agentmods.dev/badge/skills/samuelgursky/davinci-resolve-mcp/resolve-media-pool/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-media-pool"><img src="https://agentmods.dev/badge/skills/samuelgursky/davinci-resolve-mcp/resolve-media-pool.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 | $0.00098 | $0.00697 |
| Opus 5 | $0.00049 | $0.00349 |
| Sonnet 5 | $0.00020 | $0.00139 |
| Haiku 4.5 | $0.00010 | $0.00070 |
Grade A, and why
resolve-media-pool 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 9d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resolve Media Pool / Ingest
Thin router; depth stays in the kernel.
- Live tool mechanics —
docs/kernels/media-pool-ingest-kernel.md(themedia_poolingest boundary) +docs/guides/multicam-setup-guide.md. - Offline media front-end —
resolve-advanced/README.md→ themediatool.
Two servers — verify offline, import live
| Job | Server | Tools |
|---|---|---|
| Import / organize / relink in a running Resolve | davinci-resolve (Python, live) |
media_pool (`safe_import_media |
| Verify / inventory / hash-seal a card with no Resolve open | davinci-resolve-advanced (Node) |
media (needs ffmpeg + ffprobe on PATH) |
Offline media actions
ingest_verify— hash seal / verify / dupes-by-hash (chain of custody).media_inventory— fps / codec / colorspace / TC + card-gap report.sync— picture↔sound TC alignment + drift / MOS.relink_manifest,rename_plan(refuses camera originals) /reel_normalize,turnover_package,project_hygiene.
Rule of thumb: verify + inventory the card offline before importing, then import and organize live.
Boundaries & safety (AGENTS.md)
- Non-media files are not imported; the kernel never creates proxies, transcodes, or derivatives of source media.
- Native multicam clip creation/flattening is not in the public API — the setup helper preps a stacked timeline you convert in Resolve's UI (see the guide).
ImportMediahas no destination parameter — clips always land in the current folder, and an unrecognized destination argument is silently ignored. Create the bin,set_current_folderto it, then import. Getting this backwards puts clips wherever the current folder happened to be, which is routinely somewhere an automated step moved it.MediaPoolItem.GetTimelineis 21.0.4+ (issue #131) and is not reachable through this server yet. A media-pool entry that is a timeline cannot be turned back into a timeline object on older builds — checkresolve_control check_version_supportrather than assuming.- Never rename or derive camera originals without explicit approval;
rename_planrefuses them by design.
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.
- 9d ago Changed · -1 lines 83b7e9b62458
- 12d ago First seen · 49 lines · 98 tokens per session scan A 462f19d4582c
resolve-media-pool is a skill published in the GitHub repository samuelgursky/davinci-resolve-mcp (2,622 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 697 once invoked, about $0.0005 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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