Xiaohongshu (Little Red Book) is a popular Chinese social media and e-commerce platform where users share product reviews, lifestyle content, and shopping recommendations. It combines social networking with online shopping, allowing users to discover and purchase trending products while connecting with a community of users with similar interests.
Enables AI assistants to read and analyze real social posts across eight networks, research creators and trends, and generate hooks, draft scores, variants, and repurposed content.
22
27
878 npm
MIT
Why this server?
Search and retrieve posts from Xiaohongshu, including keyword search, date filtering, and pagination.
Exposes JustOneAPI endpoints as MCP tools, returning raw upstream JSON without field parsing for maximum data fidelity.
7
22 npm
30
MIT
Why this server?
Extracts watermark-free videos and images from Xiaohongshu (Little Red Book) share links, with automatic content type detection and dual-format image support (WebP and PNG).
Extracts watermark-free videos and images from Douyin (TikTok) and Xiaohongshu (RedNote) share links, with optional AI-powered video transcription support.
4
4
46 PyPI
24
Apache 2.0
Why this server?
Allows searching for and calling Xiaohongshu APIs (e.g., note comments) through JustOneAPI, inspecting required parameters and retrieving Xiaohongshu data.
Enables AI assistants to discover API endpoints, inspect required parameters, and make authorized API calls through the Just One API platform.
7
22 npm
1
MIT
Why this server?
Generates Xiaohongshu (Little Red Book) content including intelligent outline generation, image creation, outline editing, and project management for multi-page posts.
Enables generation of Xiaohongshu (Little Red Book) social media content including intelligent outlines, AI-generated images, and multi-page posts through natural language commands.
5
13 npm
15
MIT
Why this server?
Enables searching and retrieving content from Xiaohongshu (Red Book) platform, including note titles, content, author information, interaction metrics, images, hashtags, and direct links.
Enables users to search and retrieve content from Xiaohongshu (Red Book) platform with smart search capabilities and rich data extraction including note content, author information, and images.
1
87 npm
29
MIT
Why this server?
Provides comprehensive tools to browse hot notes, search content, view post details, and publish new notes.
The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.
11
18
MIT
Why this server?
Enables agents to read content from your logged-in Xiaohongshu (Little Red Book) account, scan recommendation feeds, and interact with the platform through real browser automation.
Enables AI agents to directly control your real Chrome browser with full context including login sessions, cookies, and open tabs. It provides tools for page scanning, JavaScript execution, CDP control, screenshots, and physical mouse/keyboard input for authentic browser automation.
20
245
MIT
Why this server?
Provides tools for searching Xiaohongshu notes by keyword, resolving shared note URLs into structured details, fetching note details by ID, retrieving paginated first-level comments, accessing creator profile data, and listing a creator's published notes. All operations are read-only for social media intelligence workflows.
Read-only MCP bridge for Xiaohongshu / XHS / RedNote social media insights: search notes, get note details and comments, creator profiles, and creator note lists.
