Xiaohongshu (Little Red Book) MCP Server
LocalAbout Xiaohongshu (Little Red Book) MCP Server
Xiaohongshu MCP Server connects AI assistants to Xiaohongshu for publishing image notes, searching posts, and viewing account or note details. It uses a headless Chromium browser to load session cookies and make requests through the site's web context.
Key features
- 01Check login status and manage QR login
- 02Publish image notes with text and tags
- 03Search notes by keyword
- 04Retrieve note details
- 05View user profile information
Use cases
- 01Publish an image note with captions and tags
- 02Search Xiaohongshu posts on a topic
- 03Inspect a note’s details
- 04Check the logged-in account profile
MCP support
Exposes login, publishing, search, note-detail, and profile tools to MCP clients. It supports stdio and HTTP transports, using Playwright and Chromium for its Xiaohongshu web-session requests.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMExiaohongshu-mcp-server
A Model Context Protocol (MCP) server for Xiaohongshu (Little Red Book) - China's leading lifestyle social media platform.
Publish image notes, search content, view note details, and manage your account - all through MCP tools that AI assistants can use directly.
How It Works
Uses Playwright to run a headless Chromium browser that:
- Loads your XHS session cookies
- Generates authentic API signatures via the XHS web app's built-in signing function
- Makes API calls through the browser's network context (bypasses anti-bot detection)
- Uploads images directly to XHS CDN
No browser automation of UI elements - all interactions go through XHS's internal API.
Tools
| Tool | Description |
|---|---|
check_login_status | Check if you're logged in |
get_login_qrcode | Generate QR code for login |
check_qrcode_status | Poll QR scan status & save session |
reload_cookies | Reload cookies from disk |
publish_content | Publish an image note with title, text, images, and tags |
search_feeds | Search XHS notes by keyword |
get_feed_detail | Get full details of a note |
user_profile | Get user profile information |
Installation
pip install xiaohongshu-mcp-server
playwright install chromium
For QR code image generation (optional):
pip install "xiaohongshu-mcp[qrcode]"
Quick Start
1. Start the server
HTTP mode (for Claude Code, Cursor, etc.):
xhs-mcp --transport http --port 18060
stdio mode (for Claude Desktop):
xhs-mcp --transport stdio
2. Login
Call the get_login_qrcode tool, scan the QR code with the Xiaohongshu app, then call check_qrcode_status with the returned qr_id and code. Cookies are saved to ~/.xhs-mcp/cookies.json and persist across restarts.
3. Use
Ask your AI assistant to publish a note, search for content, etc.
Configuration
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"xhs-mcp": {
"command": "xhs-mcp",
"args": ["--transport", "stdio"]
}
}
}
Claude Code
claude mcp add xhs-mcp --transport http http://localhost:18060/mcp
Then start the server: xhs-mcp
As a LaunchAgent (macOS auto-start)
Create ~/Library/LaunchAgents/com.xhs-mcp.plist:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Label</key>
<string>com.xhs-mcp</string>
<key>ProgramArguments</key>
<array>
<string>/path/to/your/venv/bin/xhs-mcp</string>
</array>
<key>RunAtLoad</key>
<true/>
<key>KeepAlive</key>
<true/>
<key>StandardOutPath</key>
<string>/tmp/xhs-mcp.log</string>
<key>StandardErrorPath</key>
<string>/tmp/xhs-mcp.err</string>
</dict>
</plist>
launchctl load ~/Library/LaunchAgents/com.xhs-mcp.plist
Example: Publish a Note
# Via MCP tool call
publish_content(
title="Hello XHS!",
content="My first post published via MCP.",
images=["/path/to/photo.jpg"],
tags=["MCP", "AI"]
)
Requirements
- Python 3.12+
- Chromium (installed via
playwright install chromium) - A Xiaohongshu account
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.