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ガイドを見る →davinci-resolve-mcpは、samuelgurskyが公開しているオープンソースの動画プロジェクトです（GitHub: samuelgursky/davinci-resolve-mcp）。GitHubスターは3,410、フォークは397で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
An MCP server that lets AI agents drive DaVinci Resolve Studio — editing, grading and more.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Drive projects, timelines, edits and colour work in DaVinci Resolve through MCP tools.
An in-app bridge script (Workspace > Scripts > resolve_bridge) works where the external scripting API is unavailable.
A local control panel UI for inspecting and controlling the server.
Guardrails that catch destructive or wrong-target operations before they run.
Agent execution traces explain each editing decision for review.
A documented security posture and source-media safety rules for professional footage.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/samuelgursky/davinci-resolve-mcp.git
cd davinci-resolve-mcpRun the setup command, which installs and configures the server.
npx davinci-resolve-mcp setupClone, run the installer, install the Resolve bridge, then restart Resolve and open a project.
git clone https://github.com/samuelgursky/davinci-resolve-mcp.git
cd davinci-resolve-mcp
python install.py
python scripts/install_resolve_bridge.pyIt is maintained by samuelgursky on GitHub (samuelgursky/davinci-resolve-mcp), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
The MCP server is free; you need DaVinci Resolve installed (the bridge targets the free edition, Studio unlocks the full scripting API) and your MCP client's own model access.
Compared with manual editing only, or generic desktop automation, davinci-resolve-mcp's distinguishing focus is: an MCP server that lets AI agents drive DaVinci Resolve Studio — editing, grading and more. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/samuelgursky/davinci-resolve-mcp (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
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