xiaohongshu-mcp

Publish notes and search feeds via a local Xiaohongshu MCP server.

Updated Feb 1, 2026
One-click install
npx skills add https://github.com/ShenWang96/clawdbot_workspace_backup --skill xiaohongshu-mcp-shenwang96
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xiaohongshu-mcp
Source: https://github.com/ShenWang96/clawdbot_workspace_backup/tree/main/skills/xiaohongshu-mcp
Command: npx skills add https://github.com/ShenWang96/clawdbot_workspace_backup --skill xiaohongshu-mcp-shenwang96

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates Xiaohongshu content operations by interfacing with a local MCP server to streamline publishing, searching, and managing notes and feeds.

Core Features & Use Cases

  • Local server integration for a Python client to interact with Xiaohongshu MCP.
  • Publish notes, search notes, fetch details, and view feeds for content planning and research.
  • Use Case: Market research, trend analysis, and automated note publishing workflows.

Quick Start

Install and start the Xiaohongshu MCP server locally, then run the Python client to search, view details, or publish notes.

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 note publishing with a Python client?

You can automate Xiaohongshu note publishing by running a local MCP server and using a Python client with the requests library to send HTTP requests for content operations. This setup streamlines publishing workflows directly from your scripts.

Can I search Xiaohongshu feeds and retrieve note details using Python automation?

Yes, you can search Xiaohongshu feeds and retrieve note details using Python automation. By interfacing with a local xiaohongshu-mcp server, the client performs HTTP requests to fetch search results and view specific note information for content research.

Do I need a local MCP server to manage Xiaohongshu user profiles and content?

Yes, a local MCP server is required to manage Xiaohongshu user profiles and content. The Python client relies on this local server to execute HTTP requests for publishing notes, searching feeds, and retrieving profile details.

What is the best way to perform market research and trend analysis on Xiaohongshu?

The best way to perform market research on Xiaohongshu is using a Python client to automate feed searching and detail retrieval via a local MCP server. This approach allows you to gather and analyze trend data efficiently.

Why does my Python client require the requests library for Xiaohongshu operations?

The Python client requires the requests library to perform HTTP requests to the local MCP server. This dependency is essential for executing Xiaohongshu content operations like publishing notes and searching feeds.

Are there limitations when using a local MCP server for Xiaohongshu automation?

Using a local MCP server for Xiaohongshu automation requires maintaining the server environment and Python client setup. Operations depend on HTTP requests via the requests library, meaning network stability is crucial for publishing and searching notes.