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Let AI assistants search, browse, and publish Xiaohongshu notes via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "xiaohongshu-mcp" yet — see the docs or source repo.
Use xiaohongshu-mcp to search Xiaohongshu notes about "hidden travel destinations" and list useful titles to reference.
Returns relevant note search results and extracts title angles worth referencing.
Use xiaohongshu-mcp to browse notes about "small appliance reviews" and summarize common content structures.
Provides an overview of relevant notes and a summary of common writing structures.
Use xiaohongshu-mcp to publish a Xiaohongshu note titled "Weekend City Walking Route" using the draft content I provide.
Publishes the provided draft as a Xiaohongshu note.
Marketers or content creators can have an AI assistant search and browse Xiaohongshu notes to quickly understand existing content on a topic. This helps them find topic ideas and reference directions more efficiently.
Researchers or product teams can use it to browse public notes on Xiaohongshu and collect examples of platform content styles and expressions. It is suitable for lightweight content observation.
When a user already has a title and body prepared, this MCP tool lets an AI assistant publish the Xiaohongshu note directly. This connects content generation with the publishing step.
It is an MCP tool that lets AI assistants search, browse, and publish notes on Xiaohongshu. No further implementation details are provided in the given materials.
Based on the description, it supports three core actions: searching notes, browsing notes, and publishing notes. For any additional features, see the source repository.
The available information only indicates that it works via MCP, so it typically requires an MCP-compatible AI assistant environment. For exact installation steps, account requirements, or key requirements, see the source repository.
Connect to Xiaohongshu for content search, topic research, and ops insights.
Publish and search Xiaohongshu posts through browser automation for faster content operations.
Automate Xiaohongshu login, publishing, search, and recommendations via Puppeteer.
Automate Xiaohongshu actions and scrape user, note, and engagement data.
Automatically publish text, image, and video posts to Xiaohongshu efficiently.
Search Xiaohongshu notes, profiles, and trending content through read-only APIs.