Hi Recall team, I’ve been testing the Recall MCP integration with YouTube cards and found a useful enhancement opportunity. Recall already extracts the full YouTube transcript and lets me export it from the Recall interface. Through MCP, however, an AI client can currently access only selected transcript chunks through search or get_document_content. The MCP does expose timestamped reader chunks, alongside the generated notebook summary chunks, which is great. But get_document_content returns a limited, non-contiguous selection rather than the complete transcript. I can retrieve additional sections through targeted searches, but I cannot deterministically reconstruct or export the entire transcript. Would you consider adding a dedicated transcript operation, perhaps something like: get_transcript(card_id, format, include_timestamps, cursor/page_size) Ideally, it would: * Return the complete source transcript, separate from Recall’s summaries * Preserve timestamps * Support pagination for long videos * Maintain deterministic transcript order * Indicate whether the transcript is complete or partially available * Optionally return plain text, Markdown, WebVTT, or SRT This would make Recall particularly valuable as a source repository for AI research workflows. An assistant could retrieve the original transcript for detailed analysis, quotations, fact verification, or creating structured notes, while still using Recall’s summaries for faster discovery. I tested this with the YouTube card today. The MCP exposed transcript excerpts from approximately 00:00 through 14:36, but only as selected chunks rather than one complete, sequential transcript. Happy to share more details from the test if useful.
