What is an MCP Server?

An MCP (Model Context Protocol) Server acts as a bridge between AI models and external data sources, allowing AI to access and interact with data.

What does the Xiaohongshu MCP Server do?

It allows AI agents to extract data from Xiaohongshu, including notes, comments, and search results, using JS reverse engineering.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. The platform helps orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with an LLM model and create Multi-Agent Systems.

Why use this MCP Server over traditional methods?

It’s more efficient as it uses JS reverse engineering for direct HTTP API access, avoiding the overhead of browser automation tools like Playwright.

What are some use cases for this MCP Server?

Market research, brand monitoring, content creation, e-commerce optimization, sentiment analysis, and competitive analysis.

Is this for commercial use?

No, this MCP Server is intended for educational and research purposes only.

What are the prerequisites to install this MCP Server?

Node.js, Python 3.12, and uv (installed via pip install uv).

Where do I get the Xiaohongshu cookie?

Log into Xiaohongshu in your web browser, then extract the cookie from your browser’s developer tools.

How does this MCP Server integrate with UBOS?

It’s designed to be seamlessly integrated into the UBOS platform, streamlining AI agent development and deployment.

Can I create MCP servers for other data sources with UBOS?

Yes, the UBOS platform empowers developers to create custom MCP servers for any data source.