Bridge AI agents into your video review loop.
Connect Claude, Cursor, and AI video generators directly to frame-accurate review data. Feed human critiques, sketches, and transcripts into AI models to understand fixes and regenerate.
At a glance
- Frame inspection tools
- Voice transcript querying
- Version stack management
- Secure token authentication
What you get
MCP tools and capabilities.
Frame inspection tools
Tools to retrieve video frame captures, annotation coordinates, freehand sketches, and timecode ranges.
Voice transcript querying
Access full speech-to-text transcriptions of push-to-talk voice notes and screen recording walkthroughs.
Version stack management
Programmatically upload regenerated video versions, compare cuts, and update review status tags.
Secure token authentication
Scoped API tokens ensure AI agents only access designated projects and review folders.
Feed human feedback to models.
AI models inspect frame-pinned comments, freehand drawings, voice transcripts, and timecodes via standard JSON-RPC.
Autonomous iteration loops.
Empower AI agents to understand critique, iterate video cuts or code, and upload regenerated versions automatically.
Open MCP standard.
Works out-of-the-box with Claude Desktop, Cursor, and custom agent runtimes supporting the Model Context Protocol.
How it works
How the MCP review loop works.
Generate → Review → Understand → Regenerate → Approve.
Generate creative asset
Your generative video pipeline or AI agent creates a new video cut and uploads it to Dusken.
Human review & markup
Directors and editors speak notes, draw sketches on frames, and pinpoint revisions on exact timecodes.
Agent consumes feedback via MCP
The AI agent queries Dusken MCP tools to inspect frame annotations, transcribed voice feedback, and visual diffs.
Regenerate and compare
The agent regenerates the cut based on the feedback, uploads v2, and triggers the version compare for final signoff.
The shift
What changes with Dusken.
Copy-pasting timecode notes and screenshots into AI chat boxes manually with loss of context.
AI agents connect directly via MCP to retrieve frame-accurate annotations, audio transcripts, and video context.
“Dusken manages the Generate → Review → Iterate → Approve loop, and MCP gives our AI agents direct access to human feedback on the timeline.”
AI Video & Workflow Engineer
Why build review loops with Dusken MCP.
Close the generation loop
Transform disconnected AI video generation into a continuous, human-directed feedback and iteration loop.
Native agent compatibility
Zero custom plumbing required. Add Dusken's MCP server configuration to Claude Desktop or Cursor in 30 seconds.
Built for high-volume pipelines
Run dozens of concurrent agent review loops with flat rate team pricing and unlimited reviewer access.
Questions before you start.
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