MCP-connected agent access
Use Supercut’s MCP endpoint to give AI assistants permission-aware access to recordings so they can fetch context when needed.
Supercut is a video messaging product that lets MCP-compatible AI tools fetch transcripts, frames, comments, and reactions from recordings on demand. It also supports fast recording, sharing, and collaboration for async team workflows.
Supercut is a video messaging product that also exposes recordings to AI assistants through an MCP-compatible workflow. The Agents page shows how connected tools can fetch transcripts, frames, comments, reactions, and other recording context on demand.
The product is aimed at teams that already use Supercut to record and share work asynchronously, then want agents to turn that context into follow-up work. The page pairs the agent workflow with setup examples for clients such as Claude Code, Claude Desktop, Codex, Cursor, and VS Code.
Use Supercut’s MCP endpoint to give AI assistants permission-aware access to recordings so they can fetch context when needed.
Expose transcripts, video frames, comments, reactions, semantic search results, and more to connected tools through the Supercut Model Context Protocol.
Set up supported clients with the documented command flow, including Claude Code, Claude Desktop, Codex, Cursor, VS Code, and terminal-based setups.
Use recording context for concrete workflows such as feature release follow-up, bug triage, product copy updates, and customer-request handling.
Create and share videos fast with native recording, instant link sharing, comments, reactions, and transcript-based editing on the main product.
Choose from Pro and Enterprise pricing, with a free trial available and AI assistant features included on the paid product page.
Share a feature walkthrough, then let an agent pull the transcript and frames to help draft release follow-up or next steps.
Record a bug, inspect the playback, and use the recording context to help document or triage the issue more quickly.
Show a page, product change, or copy update, then use the transcript and visual context to generate a proposed diff or rewrite.
Turn a customer call or internal feedback video into an actionable summary that an agent can use to draft a fix or response.
Use the MCP connection in a coding or desktop client to ask for specific recording context without leaving your agent workflow.
Supercut connects to MCP-compatible AI clients so they can fetch permission-aware context from recordings, including transcripts, frames, comments, reactions, and more.
The page shows setup examples for Claude Code, Claude Desktop, Codex, Cursor, VS Code, and terminal-based clients. Supercut also provides API/MCP docs for setup help.
The page highlights scenarios like feature releases, bug fixes, product copy updates, and customer-request follow-up, where an agent can use recording context to draft next steps or changes.
The pricing page lists a Pro plan with AI assistant features, plus an Enterprise option. It also mentions a free trial with no credit card required.
The source mentions Supercut on macOS and Windows for recording, and the Agents page focuses on using MCP-compatible tools with the Supercut service.
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