LLMemory MCP Server
A remote MCP server that enables AI coding agents to search and retrieve context from imported AI chat history (ChatGPT, Claude, Codex, Claude Code) stored in Google Drive, with zero server-side storage and OAuth-based privacy.
README
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):
- Log in to the Cline Dashboard → Organization → MCP Servers
- Add a new Remote MCP server
- Name:
LLMemory· URL:https://mcp.llmemory.xyz/mcp - Save. In VS Code/JetBrains, open the Cline panel → MCP Servers → connect
llmemory. - 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
| Tool | Purpose |
|---|---|
list_sources |
Show which AI providers have data in your vault and counts |
list_recent |
Recently updated conversations (id, title, source, message count). Filter by source |
search_chats |
Full-text search across all imported conversations. Returns snippets + conversation IDs |
get_conversation |
Fetch one full transcript by ID (Markdown or JSON) |
get_context_pack |
Agent-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.filescope).
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_recentfiltered tocodex, thenget_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
Links
License
MIT
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