Model Context Protocol · MCP server for video editing
MCP video editor: 53 tools for AI-driven editing
Scene Flow Shop is built on the Model Context Protocol. Creating a scenario, splitting a clip, adding a crossfade, starting a render: each is an MCP tool, and the built-in assistant edits only through them.
Why MCP matters for video editing
The Model Context Protocol is an open standard that lets AI models call tools in a structured, typed way. Instead of a chatbot describing what you should do, an MCP-native editor lets the model do it — through the same validated operations a person would use.
In Scene Flow Shop the user interface, the REST API and the MCP server are thin adapters over one command layer. There is no AI-only backdoor: every mutation is version-checked, attributed to the user or the assistant, and undoable.
Today these tools power the built-in assistant. The server speaks standard MCP over stdio. Hosted access for third-party MCP clients is not offered yet.
All 53 MCP tools
Read-only tools run immediately; anything that changes the project is proposed for your approval unless auto mode is on.
Projects 8
project.createproject.list_for_ownerproject.updateproject.deleteproject.get_stateproject.get_summaryproject.exportproject.import
Tracks 4
track.createtrack.updatetrack.deletetrack.reorder
Scenes 4
scene.createscene.updatescene.reorderscene.delete
Timeline 16
timeline.add_placeholdertimeline.move_itemtimeline.duplicate_itemtimeline.trim_itemtimeline.set_speedtimeline.set_volumetimeline.split_itemtimeline.delete_itemtimeline.close_gaptimeline.close_gapstimeline.batchtimeline.add_transitiontimeline.add_transitionstimeline.remove_transitiontimeline.remove_transitionstimeline.update_transition_duration
Assets 3
asset.replace_placeholderasset.getasset.list
Scenarios 5
scenario.createscenario.getscenario.updatescenario.deletescenario.apply_to_timeline
Prompts 5
prompt.attachprompt.updateprompt.getprompt.list_for_sceneprompt.list_revisions
Rendering 6
render.previewrender.finalrender.statusrender.get_resultrender.list_for_projectrender.delete
History & credits 2
project.undocredits.get_balance
What an MCP-native editor gives you
Safe autonomy
Reads happen instantly; edits are proposed as exact tool calls you can approve, reject or auto-apply.
Version-checked edits
Each edit names the project version it expects, so a stale change is rejected instead of overwriting newer work.
Batching
timeline.batch groups many edits into one call, one approval and one undo step.
Full-lifecycle coverage
Idea, scenario, scenes, prompts, timeline, transitions, rendering and undo: the whole workflow is reachable by tools.
One command layer
UI, REST and MCP share the same operations, so behaviour never diverges between them.
Auditable history
Every operation records who made it: a user, the assistant or an external agent.
Frequently asked questions
What is the Model Context Protocol (MCP)?
MCP is an open standard for connecting AI models to tools and data. A model discovers the available tools, calls them with structured arguments and receives structured results.
How many MCP tools does Scene Flow Shop have?
53, across projects, tracks, scenes, timeline editing, assets, scenarios, prompts, rendering, undo and credits.
Can I use these tools from my own MCP client?
The tool surface is a standard MCP server, designed for that. At the moment it powers the built-in assistant; hosted access with per-user credentials for external clients isn't offered yet.
Are MCP edits safe?
Yes. Edits are validated, version-checked and recorded, the assistant asks for approval by default, and the latest operation can be undone.
Which model uses the tools?
The built-in assistant uses Claude models from Anthropic.
Explore more
Video editing automation, from batch edits to auto-build
Automate video editing: let the AI build a rough cut in auto mode, batch dozens of timeline edits into one undo, and reuse projects as templates.
AI video editor: edit your timeline by asking
Edit video by asking. Scene Flow Shop's AI assistant trims, splits, re-times and adds transitions on a multi-track timeline. You approve every change.
AI scenario maker: full scenario creation, end to end
Go from one-line idea to concept, treatment, scene breakdown and a timeline. AI scenario creation with per-scene prompts, inside a video editor.
Pricing: pay for AI and renders, not for editing
Start with 20 free credits. Buy 100, 300 or 1000 credits from $5. Pay for AI and renders only, no subscription.