Frequently Asked Questions about xhs-mcp

Q: What is xhs-mcp? A: xhs-mcp is an MCP (Model Context Protocol) server designed to facilitate interaction with the Xiaohongshu platform, enabling users to extract data without relying on tools like Playwright. It leverages JavaScript reverse engineering to decipher the x-s and x-t parameters for direct HTTP requests.

Q: What are the key features of xhs-mcp? A: Key features include JavaScript reverse engineering, a direct HTTP interface, search functionality for notes, note content extraction, comment retrieval, and comment posting.

Q: What are the use cases for xhs-mcp? A: Use cases include market research, social media analytics, targeted advertising, e-commerce integration, and AI-driven content creation.

Q: What are the prerequisites for using xhs-mcp? A: Prerequisites include Node.js, Python 3.12, and uv (a Python package installer).

Q: How do I obtain a Xiaohongshu cookie? A: Open the Xiaohongshu web application in your browser, log in to your account, and extract the cookie from your browser’s developer tools.

Q: How do I configure the MCP server? A: Create a JSON configuration file specifying the command to run the server, the path to the xhs-mcp directory, and the Xiaohongshu cookie.

Q: Is xhs-mcp free to use? A: xhs-mcp is intended for educational and research purposes. Usage for commercial purposes may have restrictions.

Q: Can I use xhs-mcp for commercial purposes? A: Check the project’s license and any associated terms of service to determine if commercial use is permitted.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), enabling AI models to access and interact with external data sources and tools.

Q: How does UBOS enhance xhs-mcp? A: UBOS, the Full-stack AI Agent Development Platform, enhances xhs-mcp by providing AI Agent orchestration, enterprise data integration, custom AI Agent development, and automated workflows, allowing for seamless incorporation of Xiaohongshu data into AI applications.

Q: What is the disclaimer for using xhs-mcp? A: xhs-mcp is intended for educational and research purposes only. It should not be used for any commercial or illegal activities. Users are responsible for complying with all applicable laws and regulations.