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Model Context Protocol gives AI assistants permission-aware access to recordings; semantic search, transcripts, frames, comments, reactions, and more.
Agents query recordings, transcripts, and metadata with natural language—not brittle keyword filters.
Pull transcripts, video frames, comments, and reactions on demand so agents work from real context, not a recap.
Agents react to Supercut activity and trigger follow-up in the tools you connect, so work keeps moving.
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What are the identified niche markets?
Hey @Maarten Ackermans , the top 3 niches are academic medical centers, biotech startup, patient advocacy groups. Hope this helps!
Are we going to set up a dedicated team to build the partnership strategy?
Yep, @Maarten Ackermans , we're working in setting a small cross-functional partnerships pod! @Neil Kinnish will be the driver for this! 💪
Do we have criteria for selecting strategic partners?
Yes, we'll probably reassess next quarter. For the first batch, we'll focus on partners with broad distribution and regulatory maturity. @Mark Jensen if you've other proposal we can consider!
How often are we re-evaluating the schedule to see which campaigns have worked best?
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Add the Supercut MCP server in Claude Code, then sign in only if Claude asks you to.
Connect Supercut as a remote connector in Claude Desktop and authorize access in the browser.
Point Codex at Supercut’s MCP endpoint and bring recording context into your coding sessions.
Configure Cursor so its agents can search recordings and read transcripts from your editor.
Add Supercut to VS Code for Copilot-powered workflows over your recordings.