Frequently Asked Questions (FAQ) about Xiaohongshu MCP Server
Q: What is an MCP Server? A: MCP (Model Context Protocol) 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 LLMs.
Q: What is the Xiaohongshu MCP Server? A: It’s a tool based on Playwright that automates tasks on Xiaohongshu, like searching, getting content, and posting comments, by connecting to an MCP Client.
Q: What are the main features of this MCP Server? A: Key features include automated login, keyword search, note content extraction, note comment extraction, and intelligent comment posting with different comment types.
Q: How do I install the Xiaohongshu MCP Server? A: You need Python 3.8+, then clone the project, create a virtual environment, install dependencies using pip, install browsers with Playwright, and configure your MCP Client.
Q: How do I use the Xiaohongshu MCP Server?
A: Start the server via the command line or MCP Client. Use functions like mcp0_login(), mcp0_search_notes(), mcp0_get_note_content(), mcp0_get_note_comments(), and mcp0_post_smart_comment() through the MCP Client.
Q: What kind of comments can I post with the ‘Intelligent Comment Posting’ feature? A: You can post comments with types like ‘引流’ (lead generation), ‘点赞’ (positive engagement), ‘咨询’ (inquiry-based interaction), and ‘专业’ (expertise demonstration).
Q: What do I do if I get a ‘Connection Failure’ error? A: Ensure the correct Python interpreter path is used, verify the MCP server is running, and try restarting both the MCP server and client.
Q: What do I do if I get a ‘Page.goto: Target page, context or browser has been closed’ error? A: Restart the MCP server and reconnect.
Q: Is the Xiaohongshu MCP Server free to use? A: The MCP Server itself might be, but you need to check the license and terms of use of the original project (RednoteMCP) and any dependencies. Also, using AI services like Claude might incur costs.
Q: Can I use this MCP Server for commercial purposes? A: Check the license and terms of use. Be aware of Xiaohongshu’s rules and comply with all applicable laws and regulations.
Q: What is UBOS and how does it relate to this MCP Server? A: UBOS is a full-stack AI Agent Development Platform that integrates with this MCP Server to enhance its capabilities and create sophisticated AI-driven marketing strategies.
Q: Where can I find the source code? A: This server is based on JonaFly/RednoteMCP.
Xiaohongshu Auto Comment Tool
Project Details
- chenningling/RedBook-Search-Comment-MCP
- Last Updated: 5/9/2025
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