# Xiaohongshu

> Use this tool when you need to extract detailed content from Xiaohongshu, China's prominent lifestyle and social commerce platform, for market research, content analysis, or social media monitoring. It retrieves notes with titles, content, author information, engagement metrics, tags, and images, handling authentication and avoiding rate limiting through controlled concurrency and intelligent scrolling. Ideal for gathering comprehensive search results on lifestyle trends and product discovery in the Chinese market.

Canonical page: https://skillsregistry.net/skills/xiaohongshu  
JSON: https://api.skillsregistry.net/v1/skills/xiaohongshu

## Description

MCP server for searching and retrieving content from Xiaohongshu (Red Note), China's popular lifestyle and social commerce platform. Built with TypeScript and Playwright for web automation, it handles authentication through cookie persistence and provides detailed note extraction including titles, content, author information, engagement metrics (likes, comments, collections), tags, and images. The implementation uses controlled concurrency and intelligent scrolling to gather comprehensive search results while avoiding rate limiting, making it valuable for market research, content analysis, and social media monitoring in the Chinese market where Xiaohongshu serves as a key platform for lifestyle trends and product discovery.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/xiaohongshu)
- **Repository:** <https://github.com/milescool/rednote-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xiaohongshu"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaohongshu` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaohongshu/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt