LLMemory

Registre officiel Recherche et web

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

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http llmemory 'https://mcp.llmemory.xyz/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "llmemory": {
            "type": "http",
            "url": "https://mcp.llmemory.xyz/mcp"
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. LLMemory MCP Server
  2. Install in Cline
  3. Install in other MCP clients
  4. Tools
  5. What it reads
  6. Privacy
  7. Examples
  8. Links
  9. License

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 (cline_mcp_settings.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

ToolPurpose
list_sourcesShow which AI providers have data in your vault and counts
list_recentRecently updated conversations (id, title, source, message count). Filter by source
search_chatsFull-text search across all imported conversations. Returns snippets + conversation IDs
get_conversationFetch one full transcript by ID (Markdown or JSON)
get_context_packAgent-ready briefing (goal, recent state, files, open tasks) for one conversation or a whole folder

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" → list_recent filtered to codex, then get_conversation
  • "Give me a context pack for the session where we built the Claude connector" → get_context_pack
  • "Show me which chats have data imported" → list_sources

License

MIT

Questions fréquentes

Qu'est-ce que LLMemory ?

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

Comment installer LLMemory ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http llmemory 'https://mcp.llmemory.xyz/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour LLMemory ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

LLMemory est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient LLMemory ?

Il est publié par meir-may. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.