# Xiaohongshu (Little Red Book) MCP Server

> Use this tool when you need to interact with the Xiaohongshu social media platform programmatically, enabling use cases such as social media monitoring, content scraping, and automated commenting. It solves problems like accessing note content, searching for specific topics, and engaging with users through comments. The server accepts HTTP requests as input and returns relevant data as output, such as note content and comments.

Canonical page: https://skillsregistry.net/skills/fancyboi999-xhs-auto-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fancyboi999-xhs-auto-mcp

## Description

A server that allows interfacing with the Chinese social media platform Xiaohongshu through HTTP requests, enabling searching notes, retrieving note content and comments, and posting comments.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yemwowm0di)
- **Repository:** <https://github.com/fancyboi999/xhs-auto-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": "fancyboi999-xhs-auto-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fancyboi999-xhs-auto-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fancyboi999-xhs-auto-mcp/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