ZBS Index What actually exists in applied AI, with the source next to it

mcp server

memoket

Memoket — access your recording transcripts, summaries, and key takeaways over MCP.

Description as published by the maintainer. Source

  • version 1.0.0
  • archived

archived — The linked repository returns 404. It was deleted, renamed or made private.

What this server can do

7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

get_brief(offset, brief_ids, conversation_ids)
[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_conversations(conversation_ids)
[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_summaries(offset, summary_ids, conversation_ids)
[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. Paginated (offset).
get_transcripts(offset, conversation_id)
[content_fetch] Verbatim transcript of ONE recording by conversation_id. Paginated (offset / next_offset) — page through for more.
get_transcripts_by_participant(limit, query, participant_ids, conversation_ids)
[content_fetch] Transcript lines associated with participant_ids in conversation_ids. Turns participant metadata into transcript evidence for exposed search results.
list_conversations(desc, count, offset, end_time, order_by, start_time, participant_names)
[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 200; offset). order_by ranks within the window. NOTE: `participants` are speaker labels — placeholders ('Speaker A/B') unless the user tagged them, not necessarily real names.
search_recordings(query, end_time, start_time, search_types, conversation_ids)
[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 typed hits plus conversation_ids, line_ids, segment_ids, memory_atom_ids, participant_ids, brief_ids, summary_ids, action_item_ids. Chat execution expands hits into readable evidence automatically; external callers can fetch returned ids where a matching fetcher is advertised.

Last successful function declaration observed on . Source: https://mcp.memoket.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://mcp.memoket.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 1.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-22 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-22 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status not_found GitHub returned 404 for the repository the maintainer listed. The project was deleted, renamed or made private, so the listing points at nothing. as of fetch GitHub
mcp tools declared 7 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe mcp.memoket.ai
mcp endpoint status ok The server listed 7 functions when asked. as of probe mcp.memoket.ai

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. memoket/memoket-backend-go on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://mcp.memoket.ai/mcp — mcp.memoket.ai, observed , trust tier 4.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.