memoket-mcp

endpoint

https://mcp.memoket.ai/mcp

protocol

http-sse ·2025-03-26

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is memoket-mcp live?

Yes — it answered the hub's last check (checked 10m ago). It answered 99% of checks over the last 30 days.

Is memoket-mcp free to use?

Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.

What tools does memoket-mcp have?

7 tools: get_conversations, get_summaries, get_transcripts_by_participant, search_recordings, get_transcripts, get_brief, list_conversations.

Is memoket-mcp safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_conversations reads auth-required 5h ago

  [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.

  mcp-tool

  123456789101112

  {
    "type": "object",
    "properties": {
      "conversation_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "required, non-empty; opaque recording ids"
      }
    }
  }

  arguments 12 lines copy
• get_summaries reads auth-required 13h ago

  [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).

  mcp-tool

  12345678910111213141516171819202122

  {
    "type": "object",
    "properties": {
      "offset": {
        "type": "integer"
      },
      "summary_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "optional summary ids from search_recordings.summary_ids"
      },
      "conversation_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "required, non-empty; ids are opaque strings (may be 19-digit snowflake)"
      }
    }
  }

  arguments 22 lines copy
• get_transcripts_by_participant reads auth-required 13h ago

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

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "limit": {
        "type": "integer"
      },
      "query": {
        "type": "string"
      },
      "participant_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "participant ids from search_recordings.participant_ids"
      },
      "conversation_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "recording ids scoped by participant hits"
      }
    }
  }

  arguments 25 lines copy
• search_recordings reads auth-required 22h ago

  [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.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "query": {
        "type": "string",
        "description": "Required. One phrase for a single concept, or a JSON array string of 2-4 distinct facets."
      },
      "end_time": {
        "type": "string",
        "description": "ISO 8601; filters by recording started_at."
      },
      "start_time": {
        "type": "string",
        "description": "ISO 8601; filters by recording started_at."
      },
      "search_types": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Optional lane filter. Omit to search all. Allowed: transcript, segment, memory_atom, participant, title, brief, summary, action_item."
      },
      "conversation_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Optional: restrict to these opaque recording ids."
      }
    }
  }

  arguments 31 lines copy
• get_transcripts reads auth-required 13h ago

  [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.

  mcp-tool

  12345678910111213141516

  {
    "type": "object",
    "properties": {
      "offset": {
        "type": "integer"
      },
      "text_offset": {
        "type": "integer",
        "description": "Character offset inside the first line; use returned next_text_offset, default 0."
      },
      "conversation_id": {
        "type": "string",
        "description": "required; opaque id string (may be 19-digit snowflake)"
      }
    }
  }

  arguments 16 lines copy
• get_brief reads auth-required 5h ago

  [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.

  mcp-tool

  12345678910111213141516171819202122

  {
    "type": "object",
    "properties": {
      "offset": {
        "type": "integer"
      },
      "brief_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "optional brief ids from search_recordings.brief_ids"
      },
      "conversation_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "recording ids from brief hits"
      }
    }
  }

  arguments 22 lines copy
• list_conversations reads auth-required 5h ago

  [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.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "desc": {
        "type": "boolean",
        "description": "true = descending (default); false = ascending."
      },
      "count": {
        "type": "integer",
        "description": "page size (default 100, max 200)"
      },
      "offset": {
        "type": "integer",
        "description": "page offset; use the response's next_offset"
      },
      "end_time": {
        "type": "string",
        "description": "ISO 8601, filters on started_at"
      },
      "order_by": {
        "type": "string",
        "description": "duration_seconds | started_at | action_item_count — server sorts the whole window and returns the top `count`."
      },
      "start_time": {
        "type": "string",
        "description": "ISO 8601, filters on started_at"
      },
      "participant_names": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Exact case-insensitive filter on stored tagged participant names. Use when participant-field membership is requested; un-tagged or anonymized people do not match."
      }
    }
  }

  arguments 36 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.