xiaohongshu-mcp-integration

Automate Xiaohongshu search, publishing, and engagement via MCP server.

7|2|Updated May 16, 2026
One-click install
npx skills add https://github.com/Aradotso/mcp-skills --skill xiaohongshu-mcp-integration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xiaohongshu-mcp-integration
Source: https://github.com/Aradotso/mcp-skills/tree/main/skills/xiaohongshu-mcp-integration
Command: npx skills add https://github.com/Aradotso/mcp-skills --skill xiaohongshu-mcp-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automating Xiaohongshu (Little Red Book) publishing and engagement actions is slow and manual, requiring login, browser workflows, and repetitive UI steps that agents can’t reliably perform by themselves.

Core Features & Use Cases

  • Login and session management: Handle authentication so tools can perform actions as an authorized account.
  • Publishing and content operations: Create image notes and video notes (local files), including setting privacy and tags.
  • Discovery and engagement automation: Search posts, fetch recommendation feeds, retrieve post details, and perform interactions like like/favorite/comment/reply.

Use case example: An AI agent can search Xiaohongshu for a niche keyword, analyze top posts’ metadata, then publish a compliant follow-up image note and engage with relevant content using the MCP tools.

Quick Start

Use the xiaohongshu-mcp integration to search Xiaohongshu for posts matching the keyword "美食" and return the top results.

Frequently Asked Questions about xiaohongshu-mcp-integration

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

FAQPage Schema
How do I automate Xiaohongshu publishing and engagement actions?

You can automate Xiaohongshu publishing and engagement by using an MCP server to handle login, publish image or video notes from local files, and perform likes, favorites, comments, and replies.

Can I search Xiaohongshu posts and fetch recommendation feeds via MCP?

Yes, you can search Xiaohongshu posts by keyword and fetch recommendation feeds via MCP tools, which return post metadata and identifiers needed for subsequent engagement actions.

How do I publish image and video notes to Xiaohongshu from local files?

To publish image and video notes to Xiaohongshu, you use the MCP integration to upload local files, configure session and data directories, and set privacy and tags with validation constraints for title and content length.

Do I need to configure a session and data directory to use the Xiaohongshu MCP integration?

Yes, you need to configure a session and data directory for the MCP server to manage authentication and perform token-based operations using identifiers returned by search results.

What are the limitations when automating Xiaohongshu content publishing?

Limitations include validation constraints for title and content length, and the requirement to use token-based operations with identifiers returned by search results for accurate engagement actions.