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xhs-mcp
by xyj2570

xhs-mcp

Lightweight MCP server for Xiaohongshu (Little Red Book / RED) — China's #1 lifestyle platform with 300M+ monthly active users.

No Docker. No Chromium. Just npx.

npx xhs-mcp-server

Why this exists

Xiaohongshu (小红书) is where Chinese consumers discover products, share reviews, and follow trends. If you're building for the Chinese market — or just want to understand what's trending there — you need data from this platform.

Existing solutions require Docker + Chromium (heavy, fragile). This server uses direct HTTP APIs, so it starts in <1 second and works anywhere Node.js runs.

Related MCP server: xiaohongshu-skill

What you can do

Tool

Description

xhs_search

Search notes by keyword with sorting and filtering

xhs_note_detail

Get full content, images, and metrics for any note

xhs_user_profile

Get creator profiles with follower/engagement stats

xhs_user_notes

List all notes from a specific creator

xhs_explore

Get the current trending/recommended feed

Quick start

Log in to xiaohongshu.com in Chrome, then:

  1. Open DevTools (F12)

  2. Go to Application tab → Cookies → https://www.xiaohongshu.com

  3. Copy the entire cookie string (or use a browser extension like "EditThisCookie" to export)

2. Add to your AI tool

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "xhs": {
      "command": "npx",
      "args": ["-y", "xhs-mcp-server"],
      "env": {
        "XHS_COOKIE": "your_cookie_string_here"
      }
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "xhs": {
      "command": "npx",
      "args": ["-y", "xhs-mcp-server"],
      "env": {
        "XHS_COOKIE": "your_cookie_string_here"
      }
    }
  }
}

Claude Code:

claude mcp add xhs -- npx -y xhs-mcp-server
# Then set XHS_COOKIE in your environment

3. Use it

Ask your AI assistant:

  • "Search Xiaohongshu for skincare trends"

  • "Find the top creators posting about coffee in Shanghai"

  • "What's trending on Xiaohongshu right now?"

  • "Analyze this Xiaohongshu creator's content strategy"

Use cases

For cross-border brands:

  • Monitor brand mentions and competitor activity on China's top discovery platform

  • Understand what products Chinese consumers are excited about

  • Find potential KOL/KOC partners by analyzing creator profiles and engagement

For market researchers:

  • Track trending topics and consumer sentiment in China

  • Analyze content strategies that work on Xiaohongshu

  • Discover emerging product categories before they hit Western markets

For developers:

  • Build Chinese market intelligence into your AI agents

  • Create automated competitor monitoring dashboards

  • Integrate Xiaohongshu data into your workflow

How it compares

Feature

xhs-mcp (this)

xpzouying/xiaohongshu-mcp

Language

TypeScript/Node

Go

Install

npx (1 second)

Docker + Chromium (minutes)

Dependencies

None

Docker, Chromium, ~500MB

Search

Yes

Yes

Read notes

Yes

Yes

User profiles

Yes

Yes

Publish content

Not yet

Yes

Login (QR code)

Not yet

Yes

Auth method

Cookie (manual)

Browser automation

This server is read-only by design. It focuses on research and analysis. If you need to publish content, use xpzouying/xiaohongshu-mcp — it's excellent for that.

  • Cookies typically last 7-30 days before expiring

  • If you get 401 or not_logged_in errors, refresh your cookie

  • The server will warn you at startup if XHS_COOKIE is not set

  • Never commit your cookie to version control

Roadmap

  • Creator analytics (engagement rate calculation, posting frequency)

  • Comment analysis (sentiment, themes)

  • Trend detection (rising keywords over time)

  • Content translation (Chinese → English summaries)

  • Cookie refresh helper

  • Publish support (opt-in, with rate limiting)

Contributing

PRs welcome. This project is MIT licensed.

About

Built by Tristin — building AI tools for cross-border commerce, in public.


Xiaohongshu is a trademark of Xingyin Information Technology Co., Ltd. This project is not affiliated with or endorsed by Xiaohongshu.

Available Tools

5 tools
xhs_exploreA

Get the current trending/explore feed from Xiaohongshu homepage. Shows what content is currently popular on the platform. Great for trend spotting and understanding what resonates with Chinese consumers.

Inputs: category.

xhs_note_detailA

Get full detail of a specific Xiaohongshu note by ID. Returns the complete content, all images, engagement metrics, author info, and tags. Use note IDs from xhs_search results.

Inputs: note_id (required).

xhs_user_notesA

Get all published notes from a specific Xiaohongshu user. Returns their content portfolio with engagement metrics. Useful for analyzing a creator's content strategy.

Inputs: user_id (required), cursor.

xhs_user_profileA

Get a Xiaohongshu user's profile including follower count, total likes, number of notes, and bio. Useful for influencer research and competitive analysis.

Inputs: user_id (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

    TDQS

    A4.1/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: search notes, get note details, get user profile, get user notes, and explore trending feed. There is no overlap in their purposes, so an agent can easily choose the right tool.

    Naming Consistency4/5

    All tool names use a consistent 'xhs_' prefix and snake_case. However, there is a slight mix between verb-based names (xhs_search, xhs_explore) and noun-based names (xhs_note_detail, xhs_user_profile, xhs_user_notes), deviating from a uniform verb_noun pattern.

    Tool Count5/5

    Five tools is well within the ideal range for a focused server. Each tool meaningfully contributes to the apparent purpose of Xiaohongshu research and trend analysis without being padded or insufficient.

    Completeness4/5

    The server covers the core read-only workflows (search, detail, user portfolio, trends) for market research. Minor gaps exist, such as no user search or comment-level detail, but they do not severely hinder typical use cases.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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