xiaohongshu

Retrieve and analyze Xiaohongshu content through MCP backend calls.

1|1|Updated Mar 22, 2026

Search Tags:#search #mcp #report #xiaohongshu #memory-export #track-topic

Ready to run

npx skills add https://github.com/polaris-dxz/xclaw --skill xiaohongshu-polaris-dxz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: xiaohongshu
Source: https://github.com/polaris-dxz/xclaw/tree/main/apps/desktop/openclaw-runtime/config/skills/xiaohongshu
Command: npx skills add https://github.com/polaris-dxz/xclaw --skill xiaohongshu-polaris-dxz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, python3, jq, and includes scripts (resource) components.

What problem does it solve?

Xiaohongshu content retrieval and analysis is streamlined by this skill, enabling quick access to searches, home feeds, post details, and user profiles, plus rapid topic tracking and sentiment reporting.

Core Features & Use Cases

Search Xiaohongshu content and fetch results via MCP
Retrieve homepage recommendations and detailed post data (including interactions and comments)
Retrieve user profiles and publish comments to posts
Track XX hotspots and generate topic reports to summarize discussions

Quick Start

Install dependencies, start the MCP service with start-mcp.sh, then use search.sh and track-topic.sh to get results.

Frequently Asked Questions about xiaohongshu

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

FAQPage Schema

How do I retrieve and analyze Xiaohongshu content using MCP?▼

You can retrieve and analyze Xiaohongshu content by interfacing with the MCP backend to search posts, extract details, track hotspots, and generate topic reports across user profiles and feeds.

How do I track Xiaohongshu hotspots and generate topic reports?▼

You can track Xiaohongshu hotspots and generate topic reports by running the track-topic.sh script, which summarizes discussions and extracts sentiment across user feeds and profiles.

Can I fetch Xiaohongshu homepage recommendations and post comments via MCP?▼

Yes, you can fetch homepage recommendations and detailed post data including interactions and comments, plus retrieve user profiles and publish comments to posts through MCP calls.

Do I need curl and python3 to search Xiaohongshu posts with MCP?▼

Yes, you need curl, python3, and jq installed as dependencies to execute script-driven MCP calls, handle session management, and perform error checking within the skill environment.

How do I start the MCP service to search Xiaohongshu content?▼

Install the required dependencies, start the MCP service using the start-mcp.sh script, then execute search.sh and track-topic.sh to retrieve Xiaohongshu search results and topic reports.