# Memoket Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Memoket

Search and review your meeting recordings, transcripts, summaries and action items.

- Record: https://musedirectory.ai/connector/memoket
- Category: Productivity
- Developer: Memoket
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 597ms, checked 2026-09-28T08:01:57Z
- Endpoint: https://mcp.memoket.ai/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T06:05:52Z)
- Source: Found in the official MCP Registry (ai.memoket/memoket) https://registry.modelcontextprotocol.io/v0/servers?search=ai.memoket%2Fmemoket

Memoket connects to your recording library to let Muse search transcripts, summaries, and action items by time, participants, or keywords. Retrieve full transcripts, briefs, and summaries from individual recordings.

Example request: "Find all action items from my meetings with Sarah last week."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Memoket to help me. It is a free service with an MCP server at https://mcp.memoket.ai/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- 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 200; offset). order_by ranks within the window. NOTE: `participants` are speaker 
- 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 typed hits plus conversation_ids, line_ids, segment_ids, memory_atom_ids, participa
- 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. Paginated (offset).
- 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 line.

Screening checks:
- MCP handshake: pass (Answered in 492ms)
- Domain against threat feeds (Cloudflare security DNS): pass (mcp.memoket.ai not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (7 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 424 days ago)
- AI review of purpose and tool behavior: pass (No concerns)