Trendy Post (Xiaohongshu)
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- social-media
- Source
- PulseMCP
- Repository
- github.com/yums-gao/trendy_post_mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Trendy Post (Xiaohongshu) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.