MCP.Market

LLMemory MCP server

online · 100% uptime
by meir-may·io.github.meir-may/llmemory·v0.1.0

Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only

A88/100grade A
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Safety scan
A88/100

full report

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LLMemory tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 412ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 73 days ago12/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How LLMemory compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 80% of 3,470 Web search servers
Uptime
100%
of our recent checks; the typical remote Web search server answers 100%
Response time
377 ms
faster than 41% of 2,238 Web search servers

Install LLMemory in Claude Code, Cursor or VS Code

claude mcp add --transport http llmemory https://mcp.llmemory.xyz/mcp
Add to Cursor

What the publisher says

From the LLMemory repository's README, as published. We do not edit it. Read it on GitHub

LLMemory MCP Server

A remote MCP server that lets AI coding agents search and pull context from your imported AI chat history (ChatGPT, Claude, Codex, Claude Code) without copy-pasting. Reads your vault live from your own Google Drive. Zero server-side storage, fully private.

Server URL: https://mcp.llmemory.xyz/mcp Transport: Streamable HTTP Auth: OAuth 2.1 with Dynamic Client Registration (no API keys — browser flow on first use)

Install in Cline

This is a remote MCP server — no cloning, no npm install, no local process. Cline just needs the URL.

Option A — Cline Dashboard (recommended):

  1. Log in to the Cline Dashboard → Organization → MCP Servers
  2. Add a new Remote MCP server
  3. Name: LLMemory · URL: https://mcp.llmemory.xyz/mcp
  4. Save. In VS Code/JetBrains, open the Cline panel → MCP Servers → connect llmemory.
  5. On first tool call, a browser window opens — authorize with Google and grant Drive access.

Option B — Cline MCP config JSON: Add this to your Cline MCP settings (clinemcpsettings.json):

{
  "mcpServers": {
    "llmemory": {
      "type": "remote",
      "url": "https://mcp.llmemory.xyz/mcp"
    }
  }
}

Restart the Cline extension. On first tool call, the OAuth browser flow opens automatically.

Install in other MCP clients

Same URL works in any MCP client that supports Streamable HTTP + OAuth 2.1:

  • Cursor — LLMemory Cursor plugin
  • VS Code / GitHub Copilot — add to .vscode/mcp.json: { "servers": { "llmemory": { "type": "http", "url": "https://mcp.llmemory.xyz/mcp" } } }
  • Claude Desktop / Claude Code — claude mcp add --transport http llmemory https://mcp.llmemory.xyz/mcp
  • Open WebUI — Admin Settings → External Tools → add Streamable HTTP MCP server with URL https://mcp.llmemory.xyz/mcp

Tools

What it reads

LLMemory reads the LLMemory/ folder in your Google Drive — a manifest.json plus one JSON file per conversation, written by the LLMemory browser extension or CLI. The server is read-only and zero-storage: it brokers Google OAuth, streams the result, then forgets everything. Your chats never leave your Drive on a server.

Privacy

  • Zero server-side storage. No chat content, no per-user database. Cloudflare Workers free tier.
  • Your Drive is the storage. Chats live in your own Google Drive LLMemory/ folder.
  • Read-only. The connector never writes to your vault.
  • OAuth-scoped. The server only ever sees your LLMemory/ Drive folder (drive.file scope).

Full privacy posture: STORE_PRIVACY.md

Examples

  • "What did I figure out about the OAuth worker last week?" → searches your vault
  • "Pull my most recent Codex session" → listrecent filtered to codex, then getconversation
  • "Give me a context pack for the session where we built the Claude connector" → getcontextpack
  • "Show me which chats have data imported" → list_sources

Links

  • LLMemory
  • MCP connector design doc
  • Main repo

License

MIT

Nothing above is checked by us. What we check is on the safety report.

LLMemory: common questions

Is LLMemory MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the LLMemory safety report
How do I install LLMemory?
It runs remotely at mcp.llmemory.xyz. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does LLMemory need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is LLMemory maintained?
The last commit was 111 days ago (2026-07-16). The latest release is v0.1.0.
Is LLMemory up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of LLMemory?
Servers from other publishers that do the same job: Papersgpt For Zotero MCP server, Ref Tools MCP server and Minutes MCP server.
How does LLMemory compare with other Web search MCP servers?
safety score 88/100 (higher than 80% of 3,470 Web search servers); uptime 100% (of our recent checks; the typical remote Web search server answers 100%); response time 377 ms (faster than 41% of 2,238 Web search servers). Full comparison.

Alternatives to LLMemory

Same job from other publishers: the closest match first, then the best rated.

  • Papersgpt For Zotero
    Professional AI research tool for Zotero: chat with PDFs, whole-library search, Literature Radar, AutoPilot. 30+ LLMs or local models; built-in MCP server.
    B
  • Ref Tools
    Token-efficient search for coding agents over public and private documentation.
    A
  • Minutes
    The private, owned conversation-memory layer for AI. Record, transcribe, and search every meeting.
    A
  • Ref Tools
    Token efficient search for coding agents over public and private documentation.
    C