# Memoket MCP server

Source: https://glimind.com/server/mcp-registry%2Fai.memoket%2Fmemoket
Registry id: `mcp-registry/ai.memoket/memoket`
Status: live (checked 2026-10-26T20:45:55.947Z)

## Measurements (30 days)

- Uptime: 99.59%
- Checks: 4895
- Outages (90 days): 13

## Install

```json
{
  "mcpServers": {
    "memoket-mcp-server": {
      "type": "http",
      "url": "https://mcp.memoket.ai/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http memoket-mcp-server https://mcp.memoket.ai/mcp
```

## Tools (7)

- `get_brief`: [content_fetch] Per-conversation compact report body for the given conversation_ids using Brief -> Summary -> Standard, where Standard is the first completed no
- `get_conversations`: [metadata_query] Conversation-level metadata for the given conversation_ids: id, title, started_at, ended_at, duration_seconds, participants, language_code. No 
- `get_summaries`: [content_fetch] Per-conversation summary body. With summary_ids, fetch exact summary reports from search_recordings. With conversation_ids only, fetch the lates
- `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 
- `get_transcripts_by_participant`: [content_fetch] Transcript lines associated with participant_ids in conversation_ids. Turns participant metadata into transcript evidence for exposed search res
- `list_conversations`: [metadata_query] List recordings by time window / participants. Returns id, title, started_at, ended_at, duration_seconds, participants, language_code (no conte
- `search_recordings`: [search] Unified recording search. Runs bounded searches over transcript lines, topic segments, memory atoms, participant metadata, titles, briefs, summaries, a

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.