Supercut for Agents

Congrats on the launch, David. The MCP angle is interesting because it turns recordings into something agents can actually use, not just files people forget to watch later.I’m curious, when teams start using Supercut this way, is the bigger value helping agents find the right moment in a recording, or helping the team trust that the extracted context is strong enough to turn into a doc, ticket, CRM update, or next action?

Semantic search over team recordings is the MCP resource I've been waiting for. Curious how granular the permission layer is - does the agent inherit per-recording share settings, or is it a flat workspace-level toggle?

I understand this is for teams that have a large video archive and record everything, right? For example, in our case videos are rarely recorded, and for notes we use a regular AI that listens and then produces a meeting report, which is sent by email to everyone who attended the meeting.

Building permission awareness directly into the agent access layer rather than bolting it on top is exactly the right architectural call. At RetainSure we work with customer call recordings for CS insights, and the consent and access layer is always where things get complicated. How does the permission model work at query time? Is access enforced at the metadata layer or does it delegate to the underlying recording storage?

Exposing semantic search over frames and transcripts through an MCP interface is clever. The permission model giving agents structured access without raw video is cleaner than anything I've seen. We've lost too much engineering context in unindexed Loom links. How does the semantic search handle multi-speaker transcripts? Do you embed at ingest time, and how do you chunk long recordings for retrieval?

This is so useful! Using internally to share standup updates.

Massive release - congrats! Already using the support article usecase!

Really excited to share Supercut Agents with you. 🚀

We’ve exposed Supercut through MCP so compatible assistants can access transcripts, frames, comments, reactions, and semantic search over recordings, including content shared with you, not just your own. The goal is to make video context queryable, permission-aware, and directly usable inside agent workflows.

The amount of use cases this opens up is bananas...

- After recording a new feature walkthrough, have an agent draft an Intercom help article from the transcript and video frames.

- Weekly sweep of sales calls for objections, competitor mentions, and buying signals, then update the CRM.

- After each client review, extract requested changes and create tasks in Linear or Jira.

- Every morning, scan the previous day’s team updates for action items.

- When a decision is mentioned in an async update, capture it and attach it to the relevant project note.

- On a recurring schedule, search across shared recordings for a topic like pricing, churn, or integration feedback, then route the results into the right tool.

Would love to hear your use cases!