# Xiaohongshu

> Use this tool when you need to automate interactions with Xiaohongshu, such as navigating the platform, managing login sessions, and controlling browser interactions. It solves problems related to social media automation, content management, and web interface interaction, providing a modular architecture for efficient workflow management. With inputs including cookie-based session management and outputs of structured storage for login state, it is ideal for use cases requiring persistent authentication and browser control.

Canonical page: https://skillsregistry.net/skills/luyike221-xiaohongshu  
JSON: https://api.skillsregistry.net/v1/skills/luyike221-xiaohongshu

## Description

A Python-based server for automating Xiaohongshu (Little Red Book) interactions through browser automation using Playwright. Built with FastMCP framework, it provides cookie-based session management for persistent authentication, browser control for navigating the platform, and structured storage for maintaining login state across sessions. The implementation uses a modular architecture with separate components for browser management, page control, login handling, and cookie storage, making it useful for social media automation, content management workflows, and interaction with Xiaohongshu's web interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/luyike221-xiaohongshu)
- **Repository:** <https://github.com/luyike221/xiaohongshu-mcp-python>

## 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": "luyike221-xiaohongshu"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luyike221-xiaohongshu` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luyike221-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