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Automate Xiaohongshu login, publishing, search, and recommendations via Puppeteer.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "xhs-mcp" yet — see the docs or source repo.
Use xhs-mcp to log in to my Xiaohongshu account and publish a post with the title "Summer Commute Outfits," a body containing three outfit tips, and relevant hashtags.
Logs in, publishes the post, and returns the publishing result or execution status.
Use xhs-mcp to search Xiaohongshu for "sunscreen review" and list the titles and links of the top results so I can inspect trending content directions.
Returns a list of search results with titles and accessible link information.
Use xhs-mcp to fetch current recommended content on Xiaohongshu and summarize the recent topic categories to help me understand platform trends.
Returns recommended content and a topic overview for later content planning.
Marketers or content creators can use it to automate Xiaohongshu login and publishing, reducing manual work. It fits workflows where repeatable posting steps are orchestrated by AI or scripts.
Researchers, operators, or product managers can use its search and recommendation capabilities to inspect popular content signals on the platform. It is useful for quickly gathering topic ideas or competitor samples.
Developers can connect this MCP server to MCP-compatible AI clients or automation flows to drive Xiaohongshu web actions through Puppeteer. It suits teams that want social media actions inside a unified toolchain.
It is an MCP server for Xiaohongshu that uses Puppeteer to provide automation for login, publishing, search, recommendations, and related actions. It is suitable for handing web-based operations to AI or scripts.
It is known to automate through Puppeteer, so you generally need a runtime environment that can run such automation. For exact installation steps and dependencies, see the source repository.
It is not just a single-purpose page tool, but an automation service callable by MCP-compatible clients. Its distinguishing feature is combining Xiaohongshu login, publishing, search, and recommendation actions behind one interface.
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