mcpCut
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcpCutmake a 30-second cut of ~/videos/talk.mp4 with auto-captions and export it."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Orccut
A real video editor for AI agents, served over MCP.
Orccut gives any MCP-capable agent (Claude Code, Claude Desktop, or anything else that speaks the protocol) an actual editing model — not a wrapper around one ffmpeg command. Projects are timeline snapshots with a journaled history of named operations; you and your agent work on the same projects — the agent edits over MCP, you review and tweak in the browser editor at orccut.com.
Connect your agent
Sign up at orccut.com and create an API token.
Point your agent at the MCP endpoint.
Claude Code:
claude mcp add --transport http orccut https://orccut.com/mcp \
--header "Authorization: Bearer <your token>"Any other MCP client, in its JSON config:
{
"mcpServers": {
"orccut": {
"type": "http",
"url": "https://orccut.com/mcp",
"headers": { "Authorization": "Bearer <your token>" }
}
}
}Then ask the agent for something real: “make a 30-second cut of this video with a title and captions, and export it.”
Related MCP server: ffmpeg-mcp-video-editor
What the agent gets
44 tools over one consistent model:
Projects & history — create/list projects, journaled operations (
editor_get_historyshows every edit ever made), named versions with restore, annotations.Timeline — multiple video/audio tracks, clips with trim/split/move/ resize, transforms with keyframes, transitions, canvas fit, color adjustments.
Text & graphics — text overlays, image/video overlays, covers.
Audio — music beds, per-clip audio, volume envelopes.
Media in — media by http(s) URL, downloaded and checked server-side before it touches a timeline.
Understanding — media analysis (scenes, audio peaks, keyframes), auto-captions, voiceover.
Out — validation, preview frames, full exports with presets.
Every edit validates its arguments, returns a fresh project snapshot with a bumped version, and lands in the journal. Nothing edits in place.
Tool documentation
The skills/ directory documents the tool surface as
ready-made instructions you can hand to any agent:
video-editing walks through the full workflow
— project → media → timeline edits → captions → validate → export — and the
conventions that make agent edits reliable.
License
The documentation in this repository is released under the MIT license.
This server cannot be deployed
Maintenance
Related MCP Connectors
AI video editor for agents and humans: timeline, captions, color, audio and generation as MCP tools.
MCP server for Clipkit — gives AI agents a video toolbox via the Clipkit schema.
FFmpeg as a service for AI agents: typed video editing tools, async jobs, downloadable outputs.
- tonpitOAuthcom.tonpit
Video production studio for AI agents: AI media, motion graphics as code, timeline and export.
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