# Trendy Post (Xiaohongshu)

> Use this tool when you need to generate trending Chinese social media posts from screenshot images. It solves the problem of creating culturally appropriate content for Xiaohongshu (Little Red Book) by extracting text and visual analysis from images and producing engaging posts with titles, content, and hashtags. The tool takes screenshot images as input and outputs complete social media posts, making it ideal for social media managers, content creators, and marketing teams.

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

## Description

This MCP server implementation by yums-gao provides AI assistants with the ability to generate trending Xiaohongshu (Little Red Book) social media posts from screenshot images. Built with Python and integrating Surya OCR for text extraction and the Zhipu API for content generation, it processes images to extract text content and visual analysis, then generates culturally appropriate Chinese social media posts with titles, content, hashtags, and style detection. The implementation includes FastMCP for server functionality, PIL and OpenCV for image processing, and supports both individual processing steps and combined workflows, making it useful for social media managers, content creators, and marketing teams who need to quickly transform visual content into engaging Chinese social media posts.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/trendy-post-xiaohongshu)
- **Repository:** <https://github.com/yums-gao/trendy_post_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": "trendy-post-xiaohongshu"
    }
  }
}
```

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