Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
MCP server for E.Leclerc Drive — search products, manage cart, and order groceries from Claude
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
LECLERC_STORE_ID, LECLERC_HOST, LECLERC_COOKIE, LECLERC_CHROME_PROFILE标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"leclerc-drive": {
"command": "npx",
"args": [
"-y",
"mcp-leclerc-drive"
],
"env": {
"LECLERC_STORE_ID": "your-value",
"LECLERC_HOST": "your-value",
"LECLERC_COOKIE": "your-value",
"LECLERC_CHROME_PROFILE": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add leclerc-drive --env LECLERC_STORE_ID=your-value --env LECLERC_HOST=your-value --env LECLERC_COOKIE=your-value --env LECLERC_CHROME_PROFILE=your-value -- npx -y mcp-leclerc-drive运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"leclerc-drive": {
"command": "npx",
"args": [
"-y",
"mcp-leclerc-drive"
],
"env": {
"LECLERC_STORE_ID": "your-value",
"LECLERC_HOST": "your-value",
"LECLERC_COOKIE": "your-value",
"LECLERC_CHROME_PROFILE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"leclerc-drive": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-leclerc-drive"
],
"env": {
"LECLERC_STORE_ID": "your-value",
"LECLERC_HOST": "your-value",
"LECLERC_COOKIE": "your-value",
"LECLERC_CHROME_PROFILE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
LECLERC_STORE_ID envLECLERC_HOST envLECLERC_CHROME_PROFILE env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 skunkobi 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:LECLERC_COOKIE
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.3.0)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
The first open-source MCP server for E.Leclerc Drive — let Claude search products, manage a cart, and prepare grocery orders natively, instead of clicking through the website.
🟢 v0.3 — working & DataDome-proof. All eight tools are validated end-to-end against the live site. Requests run inside a real Chrome driven over CDP, so they pass DataDome's bot protection (which blocks headless clients and cookie-replay). You log into Leclerc Drive once in the window that opens; the session persists. See
docs/api-capture.mdfor the reverse-engineered API.
E.Leclerc Drive has no public API. Today the only way to automate it is browser automation — slow (~3–5 s per item) and fragile (blind clicks). This project exposes the underlying operations as proper MCP tools so any MCP client (Claude Desktop, Claude Code) can drive it directly.
| Tool | Description |
|---|---|
find_stores(query) | Find drives near a postal code or city → name, id, service type, distance, host. |
set_store(store_id) | Select & remember the active store (resolves the right host automatically). |
get_store() | Show the currently selected store. |
search_product(query) | Search the catalogue → products with price, price/kg, Nutri-Score, availability, and an id. |
add_to_cart(product_id, quantity?) | Add a product to the cart. |
remove_from_cart(product_id) | Remove a line from the cart. |
update_quantity(product_id, quantity) | Set a line's quantity (0 removes it). |
get_cart() | Read the full cart with total. |
docs/api-capture.md)find_stores / set_store)WebSocket)git clone https://github.com/skunkobi/mcp-leclerc-drive.git
cd mcp-leclerc-drive npm install npm run build
Leclerc Drive is protected by DataDome, which blocks non-browser traffic (headless clients, cookie-replay) with HTTP 403 once it escalates to active challenge mode. The only thing that reliably passes is a real browser that executes the challenge. So that's what the server uses:
~/.mcp-leclerc-drive/chrome) and a debug port — no automation flags, so navigator.webdriver stays false.No cookies are read or stored; there's no Keychain prompt. The server must run on the same machine as Chrome, and a window does open (headless is detectable by DataDome — don't enable it unless you know the risk).
| Env var | Default | Description |
|---|---|---|
LECLERC_STORE_ID | 053701 | Default store id (overridden at runtime by set_store). |
LECLERC_HOST | fd9-courses.leclercdrive.fr | Default backend host (the fdN prefix varies by store). |
LECLERC_CHROME_PATH | auto | Path to the Chrome binary, if not in the default location. |
LECLERC_CHROME_PROFILE_DIR | ~/.mcp-leclerc-drive/chrome | Persistent Chrome profile dir. |
LECLERC_CHROME_PORT | 9222 | CDP remote-debugging port. |
LECLERC_HEADLESS | false | Run Chrome headless (⚠️ DataDome-detectable — not recommended). |
LECLERC_MIN_INTERVAL_MS | 1000 | Minimum delay between two requests (hygiene). |
LECLERC_JITTER_MS | 400 | Extra random jitter added between requests. |
LECLERC_MAX_RETRIES | 3 | Retries on a transient 403/429 before giving up. |
LECLERC_BACKOFF_BASE_MS | 1500 | Base retry backoff (doubles each attempt). |
The server still serializes and spaces out requests (single queue, ~1 s + jitter, retry with backoff) to stay polite — good hygiene even though the browser now handles DataDome.
The easiest way: just ask, in the conversation. No env vars required.
> "trouve mon drive vers 44000" → find_stores lists nearby drives
"prends Rezé Atout Sud" → set_store remembers it (correct host resolved)
"cherche du lait" → runs on that store
set_store persists your choice to ~/.mcp-leclerc-drive/config.json, so it sticks across sessions, and it resolves the correct backend host for you (the fdN prefix genuinely varies per store — fd8, fd9, fd14…).
⚠️ One drive at a time. Leclerc binds your session to a single drive. The
store you
set_storeto must be the one your Chrome session is logged into —
which is the normal case (your own drive). Switching to an arbitrary other
drive your browser isn't on will return a "session expired" error.
You can still hard-set the store via LECLERC_STORE_ID / LECLERC_HOST env vars if you prefer (e.g. for headless deploys). To find them manually: your Drive URL looks like https://fd9-courses.leclercdrive.fr/magasin-053701-053701-Your-Town/ — the 6-digit number is the store id, the fdN-courses.leclercdrive.fr part is the host.
mcp config)Install straight from npm — no clone needed:
# Claude Code
claude mcp add leclerc-drive -- npx -y mcp-leclerc-drive
Or in a Claude Desktop config:
{
"mcpServers": { "leclerc-drive": { "command": "npx", "args": ["-y", "mcp-leclerc-drive"] } } }
No env needed — pick your store in-conversation with find_stores / set_store. On first use a Chrome window opens: log into Leclerc Drive once and you're set.
npm run dev # tsc --watch
npm run typecheck # type-check without emitting npm run inspect # run under the MCP Inspector
src/
index.ts # MCP server: registers the 8 tools over stdio config.ts # env-based config (store, host, Chrome/CDP, throttle) types.ts # Product / CartItem / Cart store.ts # active store selection + persistence (~/.mcp-leclerc-drive) browser.ts # ChromeSession: drives real Chrome via CDP → beats DataDome leclerc/ client.ts # Leclerc Drive backend client (search + cart) locator.ts # store finder: postal code / city → nearby drives throttle.ts # request serialization + spacing + retry (hygiene) docs/ api-capture.md # the reverse-engineered Leclerc Drive API
This is a community tool — contributions are very welcome, whether it's a bug fix, support for your store, or a whole new capability (checkout, delivery slots, saved lists…).
See [CONTRIBUTING.md](CONTRIBUTING.md) for dev setup, how to smoke-test against your own account (npm run smoke), and — most useful for this project — a short guide on how to reverse-engineer a new Leclerc Drive endpoint and wire it in. Good first issues are listed in the status checklist above.
Feedback, bug reports, and ideas are very welcome.
Unofficial. Not affiliated with or endorsed by E.Leclerc. Use with your own account, at your own risk, in line with the site's terms of service. Intended for personal automation of your own grocery shopping.
MIT