xiaohongshu-mcp

Automate Xiaohongshu note publishing, searching, and feed retrieval via a local MCP server.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/okbest2024/openclaw-backup --skill xiaohongshu-mcp-okbest2024
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xiaohongshu-mcp
Source: https://github.com/okbest2024/openclaw-backup/tree/main/workspace/skills/xiaohongshu-mcp
Command: npx skills add https://github.com/okbest2024/openclaw-backup --skill xiaohongshu-mcp-okbest2024

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

Automate Xiaohongshu content operations by interfacing with a local xiaohongshu-mcp server through a Python client.

Core Features & Use Cases

  • Publish notes to Xiaohongshu (notes, images, and text) using the local MCP server.
  • Search notes and trends, view post details, and retrieve feeds to monitor engagement.
  • Manage user profiles and content feeds programmatically with a lightweight Python client.

Quick Start

Launch the local xiaohongshu-mcp server and run the Python client in scripts/xhs_client.py to perform actions.

Frequently Asked Questions about xiaohongshu-mcp

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

FAQPage Schema
How do I automate Xiaohongshu content publishing with a Python client?

You can automate Xiaohongshu content publishing by running the local xiaohongshu-mcp server and using the included Python client script to post notes, images, and text programmatically.

What is required to search notes and trends on Xiaohongshu programmatically?

Searching Xiaohongshu notes and trends requires running the local xiaohongshu-mcp server and executing the Python client script to query and retrieve search results via the server interface.

Can I manage Xiaohongshu user profiles and feeds using Python?

Yes, you can manage Xiaohongshu user profiles and content feeds by interfacing with the local xiaohongshu-mcp server through the lightweight Python client to retrieve and monitor feed updates.

Do I need a local server to retrieve Xiaohongshu post details and analyze engagement?

Yes, retrieving Xiaohongshu post details and monitoring engagement requires the local xiaohongshu-mcp server to be actively running, as the Python client script interfaces directly with it.

Does the Xiaohongshu automation client require specific Python dependencies?

The Xiaohongshu automation Python client requires the requests library to handle HTTP interfacing with the local xiaohongshu-mcp server for executing content and feed operations.

What is the best way to monitor Xiaohongshu content engagement automatically?

The best way to monitor Xiaohongshu content engagement automatically is by retrieving feeds and post details through the local xiaohongshu-mcp server using the provided Python client script.