Back to Browse

Xhs MCP Server

Developer ToolsUse Caution4.5MCP RegistryLocal
Free

Server data from the Official MCP Registry

Publish, search, and manage Xiaohongshu (Little Red Book) content via MCP tools.

About

Publish, search, and manage Xiaohongshu (Little Red Book) content via MCP tools.

Security Report

4.5
Use Caution4.5High Risk

Valid MCP server (0 strong, 3 medium validity signals). 5 known CVEs in dependencies (1 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.

4 files analyzed · 6 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-shanyang-me-xiaohongshu-mcp": {
      "args": [
        "xiaohongshu-mcp-server"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

xiaohongshu-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:

  1. Loads your XHS session cookies
  2. Generates authentic API signatures via the XHS web app's built-in signing function
  3. Makes API calls through the browser's network context (bypasses anti-bot detection)
  4. Uploads images directly to XHS CDN

No browser automation of UI elements - all interactions go through XHS's internal API.

Tools

ToolDescription
check_login_statusCheck if you're logged in
get_login_qrcodeGenerate QR code for login
check_qrcode_statusPoll QR scan status & save session
reload_cookiesReload cookies from disk
publish_contentPublish an image note with title, text, images, and tags
search_feedsSearch XHS notes by keyword
get_feed_detailGet full details of a note
user_profileGet 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

Reviews

No reviews yet

Be the first to review this server!