xiaohongshu-mcp
Active·★ 14.7k·Updated 2026-07-13
★ Trending
This project provides a Model Context Protocol (MCP) service for automating content management and operations on Xiaohongshu. It enables users to programmatically interact with Xiaohongshu, including publishing various content types, searching, and extracting data, all seamlessly integratable with various AI clients.
xiaohongshu-mcp is currently grouped under Vision / Multimodal, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Login and check Xiaohongshu account status. and Automated content publishing and scheduling for Xiaohongshu marketing campaigns.. It also shows measurable community traction with 14.7k GitHub stars.
#Xiaohongshu#MCP#Automation#Content Publishing#AI Integration
01
Features
01Login and check Xiaohongshu account status.
02Publish image and text content to Xiaohongshu, supporting HTTP links and local images.
03Publish video content to Xiaohongshu, supporting local video files only.
04Search Xiaohongshu content based on keywords.
05Retrieve detailed information for Xiaohongshu posts, including interaction data and comments.
02
Why choose it
+Login and check Xiaohongshu account status.
+Automated content publishing and scheduling for Xiaohongshu marketing campaigns.
+Covers 7 supported environments or platforms, which is helpful for broader deployment needs.
+The latest recorded update is 2026-07-13, which suggests the project is still actively maintained.
03
Trade-offs
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
Compatibility
Claude Code CLI
Native
Verified via docs
Cursor
Supported
Verified via docs
VS Code
Supported
Verified via docs
Google Gemini CLI
Supported
Verified via docs
MCP Inspector
Debugging Tool
Verified via docs
Cline
Supported
Verified via docs
05
Quick start
1
$ wget https://raw.githubusercontent.com/xpzouying/xiaohongshu-mcp/main/docker/docker-compose.yml
2
$ docker compose up -d
06
Use cases
↳Automated content publishing and scheduling for Xiaohongshu marketing campaigns.
↳Programmatic content search and data extraction for market research and trend analysis.
↳Integration with AI clients for intelligent content creation, interaction, and operational management.
07
How it compares
≈xiaohongshu-mcp sits in the Vision / Multimodal category, so it makes more sense to evaluate it alongside tools like ragflow instead of in isolation.
≈If your main need is closer to "Automated content publishing and scheduling for Xiaohongshu marketing campaigns.", that use case is a better lens for comparison than broad feature checklists alone.
≈xiaohongshu-mcp's licensing and community traction are both easier to judge in category context.
08
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