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: kdenlive-mcp-server
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.
Agentic AI video editor: edit a real timeline, generate clips, music and voice, then render.
Video editing for AI agents: cuts, captions, audio, motion graphics, previews, and exports.
MCP server for Clipkit — gives AI agents a video toolbox via the Clipkit schema.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server that exposes FFmpeg as a structured tool set for AI agents, enabling timeline-based video editing, preview, rendering, and analysis with an optional LLM autopilot.MIT
- FlicenseNot gradedqualityBmaintenanceAn MCP server that enables AI agents to perform professional video editing in Kdenlive through natural-language instructions, using a typed timeline model and real Kdenlive XML adapter.-
- AlicenseNot gradedqualityCmaintenanceAn MCP server that gives AI agents a stateful multi-track video editor powered by MLT, enabling them to assemble timelines, add media and text, apply filters and transforms, preview downscaled frames, and render final videos to disk.MIT
- AlicenseNot gradedqualityBmaintenanceAI-native timeline editor for short-form video. Your agent cuts, captions, adds motion graphics and renders against a real, editable timeline over MCP — not a render queue. Human-in-the-loop by design: it calls request_review and waits while you supervise in a browser. Local-first and AGPL; your footage never leaves your machine.2AGPL 3.0