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xiaohongshu

Search Xiaohongshu content and retrieve post details via MCP.

2|Updated Apr 6, 2026
Search Tags:#search#mcp#comment#user-profile#xiaohongshu#track-topic#post-detail
One-click install
npx skills add https://github.com/augustscl/awesome-xiawang-skills --skill xiaohongshu-augustscl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xiaohongshu
Source: https://github.com/augustscl/awesome-xiawang-skills/tree/main/xiaohongshu
Command: npx skills add https://github.com/augustscl/awesome-xiawang-skills --skill xiaohongshu-augustscl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Xiaohongshu content is dispersed across pages and tools; users need an integrated CLI to search, fetch and analyze content from Xiaohongshu via MCP.

Core Features & Use Cases

  • Search Xiaohongshu content to find posts and topics.
  • Retrieve home recommendations and post details with comments.
  • Track热点 and generate topic reports or sentiment analyses.
  • Memory export: export posts/already collected content for AI memory.

Quick Start

Navigate to the scripts directory, run install-check.sh to verify dependencies, then start MCP with start-mcp.sh and begin by using search.sh to explore Xiaohongshu content.

Frequently Asked Questions about xiaohongshu

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search and retrieve Xiaohongshu post details and comments via MCP?▼

You can search and retrieve Xiaohongshu post details with interactions and comments by using the unified MCP-based interface. Run the start script to launch the MCP server, then use the search and post-detail scripts to fetch content.

Can I track Xiaohongshu trending topics and generate sentiment analysis reports?▼

Yes, you can track trending Xiaohongshu topics and generate topic reports or sentiment analyses. The toolset provides scripts that aggregate fetched posts and interactions to analyze sentiment across tracked topics.

What do I need to set up before using this Xiaohongshu CLI tool?▼

Before using the Xiaohongshu CLI tool, navigate to the scripts directory and run install-check.sh to verify dependencies. Once verified, start the MCP server with start-mcp.sh and begin exploring content with search.sh.

Does the tool support fetching user profiles and home feed recommendations?▼

Yes, the tool supports retrieving Xiaohongshu user profiles and home feed recommendations. The MCP interface exposes dedicated functions to fetch homepage recommendations and detailed user profile information.

Can I post comments and export collected Xiaohongshu content for AI memory?▼

Yes, you can post comments on Xiaohongshu posts and export collected content for AI memory. The MCP interface includes a commenting function and a memory export feature to save posts and already collected content.

How do I manage the MCP server status when fetching Xiaohongshu content?▼

You manage the MCP server status by using the provided status and stop scripts in the scripts directory. Run status.sh to check the current server state and stop-mcp.sh to safely terminate the Xiaohongshu content retrieval process.

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