memoket

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as ai.memoket/memoket and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 26 Oct 2026. Not supplied by the maker.

• search_recordings

  [search] Unified recording search. Runs bounded searches over transcript lines, topic segments, memory atoms, participant metadata, titles, briefs, summaries, and action items in one call. Returns typ

• get_conversations

  [metadata_query] Conversation-level metadata for the given conversation_ids: id, title, started_at, ended_at, duration_seconds, participants, language_code. No transcript, brief, or summary body.

• get_transcripts_by_participant

  [content_fetch] Transcript lines associated with participant_ids in conversation_ids. Turns participant metadata into transcript evidence for exposed search results.

• get_brief

  [content_fetch] Per-conversation compact report body for the given conversation_ids using Brief -> Summary -> Standard, where Standard is the first completed non-empty type=0 report.

• get_summaries

  [content_fetch] Per-conversation summary body. With summary_ids, fetch exact summary reports from search_recordings. With conversation_ids only, fetch the latest summary report for each conversation.

• get_transcripts

  [content_fetch] Verbatim transcript of ONE recording; at most 100 lines / 4000 characters per page. Resume using both next_offset and next_text_offset from the returned item, including within a long l

• list_conversations

  [metadata_query] List recordings by time window / participants. Returns id, title, started_at, ended_at, duration_seconds, participants, language_code (no content). Paginated (count default 100, max 2