LLMemory

io.github.meir-may由 GitHub 账号 meir-may 发布v0.1.0更新于 Oct 27, 2026

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

发布方自己的服务：Memory.fit

已验证Streamable HTTP可网页运行文件与存储知识与记忆

服务详情

标识符: io.github.meir-may/llmemory
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 meir-may。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.meir-may%2Fllmemory.svg)](https://sourceweft.com/mcp/io.github.meir-may%2Fllmemory?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

远程 MCP 服务器，让助手搜索并提取你导入到自有 Google Drive 中的 ChatGPT、Claude、Codex 聊天记录上下文。

可以做什么: 列出知识库中已有数据的 AI 来源及数量
列出最近更新的对话，可按来源筛选
对所有已导入对话做全文搜索，返回片段和对话 ID
按 ID 获取完整对话记录，支持 Markdown 或 JSON
为单个对话或整个文件夹生成面向智能体的上下文包（目标、近期状态、文件、待办）
适用场景: 适合希望编码智能体或聊天客户端回忆此前在 ChatGPT、Claude、Codex 会话中讨论过的内容、而不必复制粘贴对话的场景，例如询问上周某项目的结论或调取最近一次会话的上下文。
运行要求: 远程 Streamable HTTP 端点，无需本地安装或软件包。使用 OAuth 2.1 与动态客户端注册，首次调用工具时通过浏览器授权 Google 账号并授予 Drive 访问权限。聊天记录需已由 LLMemory 浏览器扩展或 CLI 导出到该 Google Drive 的 LLMemory 文件夹。客户端需支持 Streamable HTTP 与 OAuth。

安装前请注意

会通过 drive.file 权限范围访问你 Google Drive 中的 LLMemory 文件夹，等于信任第三方服务代理 OAuth 访问你的 Drive。官方称只读且零存储，但聊天内容会经由其 Cloudflare Workers 基础设施传输。连接工作或个人 Google 账号前请先查看其隐私说明。

安装

在 SourceWeft 中

打开控制台中的 LLMemory，将其添加到工作区。
连接所需的凭据。它们会被私密存储，绝不会在公开页面上展示。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.meir-may%2Fllmemory/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。客户端会在首次连接时完成 OAuth 登录。

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

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):

json

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

{  "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.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