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Xiaohongshu (Little Red Book) MCP Server

Xiaohongshu (Little Red Book) MCP Server

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github.com/shanyang-meSocial Media2Updated 34w ago

About 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

  1. 01Check login status and manage QR login
  2. 02Publish image notes with text and tags
  3. 03Search notes by keyword
  4. 04Retrieve note details
  5. 05View user profile information

Use cases

  1. 01Publish an image note with captions and tags
  2. 02Search Xiaohongshu posts on a topic
  3. 03Inspect a note’s details
  4. 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.

mcp.json · Universal config
{
"mcpServers": {
"shanyang-me-xiaohongshu": {
"command": "uvx",
"args": [
"xiaohongshu-mcp-server"
]
}
}
}
Run commanduvx xiaohongshu-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypixiaohongshu-mcp-server0.1.1

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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

Comments

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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.