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Montra turns narrated screen recordings into implementation-ready documents made of tickets — each ticket a markdown spec with the exact annotated screenshots and narration behind it. The Montra MCP connector exposes those documents to any AI tool that speaks the Model Context Protocol: Claude, Claude Code, Cursor, and other MCP clients. Once connected, your agent can:
  • Read work items — list documents and folders, open a document, and pull each ticket’s full markdown implementation spec.
  • See what you saw — fetch the annotated screenshots attached to a ticket and the transcript of what you said while recording.
  • Report progress back — mark tickets done, update titles and specs, and record links to the Linear or Notion issues it created from them.
  • Resolve share links — turn a pasted montra.com/share/... link into the full machine-readable payload with get_document_by_share_url, no web scraping involved.

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Connection at a glance

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Where to go next

Connect your agent

Set up the connector in Claude, Claude Code, Cursor, or any other MCP client.

Authentication & workspaces

How OAuth sign-in and per-connection workspace binding work.

Agent workflow

The recommended loop for implementing Montra tickets and reporting progress.

Tool reference

Every tool the connector exposes, with inputs and outputs.