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xiaohongshu-mcp

Automate Xiaohongshu publishing, search, feed retrieval, and post-detail analysis via a local MCP server.

18|2|Updated Mar 14, 2026
Search Tags:#mcp#content automation#social media management#xiaohongshu#trend research#rednote#python client
One-click install
npx skills add https://github.com/yuanyuekejiJN/AivoClaw --skill xiaohongshu-mcp-yuanyuekejijn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xiaohongshu-mcp
Source: https://github.com/yuanyuekejiJN/AivoClaw/tree/main/extraSkills/xiaohongshu-mcp
Command: npx skills add https://github.com/yuanyuekejiJN/AivoClaw --skill xiaohongshu-mcp-yuanyuekejijn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill removes the friction of manually running a separate Xiaohongshu (小红书/RedNote) workflow by letting you automate common publish and research tasks through a local MCP server and a Python client.

Core Features & Use Cases

  • Publishing content (text, images, video-capable posts): Turn a title and prepared content into a new Xiaohongshu note through the local MCP API.
  • Searching and discovering notes/trends: Find notes by keyword and retrieve feed identifiers needed for deeper analysis.
  • Analyzing post details and comments: Pull note details (and optionally load comments) for research, benchmarking, or content improvement.
  • Managing recommended feeds: Fetch a recommended feed list to guide what to study or share next.

Use case example: Do market research by searching “户外电源”, selecting a promising note from results, then retrieving its full details and top comments to extract positioning, engagement hooks, and audience preferences.

Quick Start

Start the local xiaohongshu-mcp server on http://localhost:18060, then run the Python client to search for notes by keyword.

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 and trend research via MCP?▼

You can automate Xiaohongshu content operations by running a local MCP server and using a Python client to call HTTP endpoints for publishing posts, searching keywords, and analyzing note details.

What do I need to run a Xiaohongshu MCP server for social media management?▼

You need the xpzouying/xiaohongshu-mcp server running locally on http://localhost:18060 with authenticated session tokens, the Python requests dependency installed, and the bundled client script.

Can I retrieve post details and comments from RedNote for trend research?▼

Yes, you can retrieve RedNote post details and optionally load comments by searching keywords to get feed identifiers, then pulling full note analysis to extract engagement hooks and audience preferences.

How do I publish text and image posts to Xiaohongshu using a local MCP API?▼

You can publish text and image posts to Xiaohongshu by passing a prepared title and content to the local MCP API through the Python client script, which handles the HTTP endpoint calls automatically.

Does xiaohongshu-mcp work for fetching recommended feeds to guide content strategy?▼

Yes, xiaohongshu-mcp fetches a recommended feed list from Xiaohongshu, allowing you to review trending notes and guide what content to study or share next in your workflow.

What are the limitations of automating RedNote operations through a local MCP server?▼

Automating RedNote operations through a local MCP server requires maintaining authenticated session tokens and a running localhost instance, meaning operations fail if the server stops or sessions expire.

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