Index / MCP servers / Memoket

Memoket MCP server

Connect Memoket and your agent gets 7 tools, among them get_brief, get_conversations, get_summaries. It answers at https://mcp.memoket.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.

Status
Answering
Tools
7
Official
yes, served from memoket.ai
Reliability
10 of 10 checks
Response time
339 ms
Transport
streamable HTTP
Last checked
17 October 2026

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

Description as the publisher wrote it.

The 7 tools Memoket offers

ToolWhat it does
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.
Inputs: brief_ids, conversation_ids, offset
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.
Inputs: conversation_ids
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).
Inputs: conversation_ids, offset, summary_ids
get_transcripts[content_fetch] Verbatim transcript of ONE recording by conversation_id. Paginated (offset / next_offset) — page through for more.
Inputs: conversation_id, offset
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.
Inputs: conversation_ids, limit, participant_ids, query
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 w
Inputs: count, desc, end_time, offset, order_by, participant_names
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,
Inputs: conversation_ids, end_time, query, search_types, start_time

Add Memoket to your AI client

Every block below points at https://mcp.memoket.ai/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http memoket https://mcp.memoket.ai/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "memoket": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.memoket.ai/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "memoket": {
      "url": "https://mcp.memoket.ai/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "memoket": {
      "type": "http",
      "url": "https://mcp.memoket.ai/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "memoket": {
      "url": "https://mcp.memoket.ai/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "memoket": {
      "serverUrl": "https://mcp.memoket.ai/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "memoket": {
      "url": "https://mcp.memoket.ai/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: Memoket
version: 0.0.1
schema: v1
mcpServers:
  - name: Memoket
    type: streamable-http
    url: https://mcp.memoket.ai/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "memoket": {
      "httpUrl": "https://mcp.memoket.ai/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "memoket": {
      "type": "http",
      "url": "https://mcp.memoket.ai/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "memoket": {
      "url": "https://mcp.memoket.ai/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fmcp.memoket.ai%2Fmcp&type=streamable_http&id=memoket&name=Memoket

Is Memoket up right now?

It answered our last check on 17 October 2026 in 339 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to Memoket

Questions about Memoket

Is there an official Memoket MCP server?

Yes. It is published by memoket.ai and served from mcp.memoket.ai, the vendor's own domain: https://mcp.memoket.ai/mcp.

How many tools does Memoket have?

7, as returned by the server's own tools/list on 8 September 2026: get_brief, get_conversations, get_summaries, get_transcripts, get_transcripts_by_participant, list_conversations, search_recordings.

Is Memoket down?

It answered our last check on 17 October 2026 in 339 ms. Over 10 checks since 4 September 2026 it answered 10.

How do I add Memoket to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.memoket.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Memoket need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: ai.memoket. Endpoint host: mcp.memoket.ai. ARD identifier: urn:air:ai.memoket:mcp:memoket. First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.