Frequently Asked Questions about the 小红书 MCP Server for UBOS

Q: What is an MCP Server?

A: MCP stands for Model Context Protocol. An MCP Server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Q: Why use the 小红书 MCP Server?

A: This MCP Server allows you to efficiently extract data from 小红书 (Xiaohongshu) using JS reverse engineering, avoiding the need for resource-intensive methods like Playwright. You can retrieve notes, comments, and more for market research, trend analysis, and other applications.

Q: What data can I extract using this MCP Server?

A: You can extract: Search notes based on keyword, retrieve content of a note, access comments of a note, and also you can post a comment.

Q: What are the prerequisites for using the 小红书 MCP Server?

A: You need Node.js, Python 3.12, and the uv package installed. You also need a valid 小红书 cookie for authentication.

Q: How do I get a 小红书 cookie?

A: Log in to the web version of 小红书 and extract the cookie from your browser’s developer tools. It can usually be found under the ‘Network’ or ‘Application’ tab, looking at the request headers.

Q: How do I configure the MCP Server in UBOS?

A: Configure the mcpServers section in your UBOS configuration file with the correct path to the cloned repository and your 小红书 cookie, as shown in the example in the overview section.

Q: Is it legal to scrape data from 小红书?

A: You should always review and comply with 小红书’s terms of service. Use the MCP Server responsibly and ethically, respecting user privacy and avoiding any actions that violate their terms.

Q: What is UBOS and how does it relate to this MCP Server?

A: UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents. This MCP Server is an asset available on the UBOS Marketplace, enabling your AI Agents to access 小红书 data.

Q: Can I use this MCP Server for commercial purposes?

A: The provided disclaimer states that the project is for learning and communication purposes only, and prohibits commercial use. Check the licensing of the specific MCP server implementation for definitive information.