# Xiaohongshu MCP Python

> Use this tool when you need to automate interactions with Xiaohongshu, a social media platform, to browse feeds, search content, and manage interactions like liking or commenting. It solves problems related to account management, content publishing, and data scraping, providing inputs such as search queries and account credentials, and outputs like feed data and interaction results. Ideal for use cases requiring automated social media management, data collection, or content publishing on Xiaohongshu.

Canonical page: https://skillsregistry.net/skills/betars-xiaohongshu-mcp-python  
JSON: https://api.skillsregistry.net/v1/skills/betars-xiaohongshu-mcp-python

## Description

A Python implementation of an MCP server for Xiaohongshu that enables AI models to browse feeds, search content, and manage interactions like liking or commenting. It leverages Playwright for browser automation to support account management and content publishing features.

## Trust

- **Trust score (0–1):** 0.24
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hx9oktccig)
- **Repository:** <https://github.com/betars/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": "betars-xiaohongshu-mcp-python"
    }
  }
}
```

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