Xiaohongshu
xiaohongshu-mcp-python 是一个基于现代 Python 技术栈开发的小红书内容自动化发布工具，通过 Model Context Protocol（MCP）协议为 AI 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式（JPG、PNG、GIF）和视频格式（MP4、MOV、AVI），既可处理本地文件路径，也支持 HTTP/HTTPS 链接，为用户提供灵活的内容发布方案。 该
What is Xiaohongshu?
Xiaohongshu is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to xiaohongshu-mcp-python 是一个基于现代 python 技术栈开发的小红书内容自动化发布工具，通过 model context protocol（mcp）协议为 ai 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式（jpg、png、gif）和视频格式（mp4、mov、a...
xiaohongshu-mcp-python 是一个基于现代 Python 技术栈开发的小红书内容自动化发布工具，通过 Model Context Protocol（MCP）协议为 AI 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式（JPG、PNG、GIF）和视频格式（MP4、MOV、AVI），既可处理本地文件路径，也支持 HTTP/HTTPS 链接，为用户提供灵活的内容发布方案。 该
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- xiaohongshu-mcp-python 是一个基于现代 Python 技术栈开发的小红书内容自动化发布工具，通过
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx xiaohongshu-mcp-pythonConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Xiaohongshu
The Xiaohongshu MCP server is a comprehensive AI-driven social media automation platform for the Xiaohongshu (Little Red Book) platform, implemented in Python with FastMCP. It provides browser automation tools via Playwright to publish image and video posts, search content, read post details, manage account sessions, and interact through comments — all through the MCP protocol. Content creators and social media teams use it to automate their Xiaohongshu publishing workflow, letting AI agents handle content scheduling, image generation, and posting end-to-end.
Prerequisites
- Python 3.11 or higher
- A Xiaohongshu (Little Red Book) account with valid login credentials
- Playwright browser automation library installed
- An MCP-compatible AI client such as Claude Desktop
- Optional: API keys for AI image generation services (e.g., Tongyi Wanxiang) if using the image generation modules
Clone the repository
Clone the xiaohongshu-mcp-python repository to your local machine. The project contains multiple sub-modules for content generation, browser automation, image generation, and video generation.
git clone https://github.com/luyike221/xiaohongshu-mcp-python.git
cd xiaohongshu-mcp-pythonSet up a Python virtual environment
Create and activate a Python 3.11+ virtual environment, then install the required dependencies for the browser automation module.
python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
cd xhs-browser-automation-mcp
pip install -e .Install Playwright browsers
Playwright requires browser binaries to be installed separately. Run the Playwright install command after installing the Python package.
playwright install chromiumLog in to Xiaohongshu
The browser automation module handles Xiaohongshu login with session persistence. On first run you will be prompted to log in via the browser. The session cookie is saved for subsequent runs to avoid repeated logins.
Configure your MCP client
Add the Xiaohongshu browser automation MCP server to your MCP client configuration, pointing to the installed Python module.
{
"mcpServers": {
"xiaohongshu": {
"command": "python",
"args": ["-m", "xhs_browser_automation_mcp"],
"cwd": "/path/to/xiaohongshu-mcp-python/xhs-browser-automation-mcp"
}
}
}Xiaohongshu Examples
Client configuration
Claude Desktop configuration to run the Xiaohongshu browser automation MCP server using the local Python installation.
{
"mcpServers": {
"xiaohongshu": {
"command": "python",
"args": ["-m", "xhs_browser_automation_mcp"],
"cwd": "/path/to/xiaohongshu-mcp-python/xhs-browser-automation-mcp"
}
}
}Prompts to try
These prompts use the Xiaohongshu MCP tools to publish content and interact with the platform through your AI assistant.
- "Publish a Xiaohongshu post with title 'Morning Routine Tips' and these 3 images: /images/tip1.jpg, /images/tip2.jpg, /images/tip3.jpg"
- "Search Xiaohongshu for posts about 'minimalist home decor' and show me the top 10 results"
- "Get the details and comment count for the post at this URL: https://www.xiaohongshu.com/..."
- "Publish a video post with the file at /videos/tutorial.mp4 and the description 'How to brew the perfect cup of tea'"Troubleshooting Xiaohongshu
Playwright browser launch fails with a missing browser error
Run `playwright install chromium` to download the required browser binaries. If running in a headless environment, ensure the necessary system dependencies for Chromium are installed (on Linux: `playwright install-deps chromium`).
Login session expires and the bot is logged out unexpectedly
The browser automation module saves session cookies for persistence, but Xiaohongshu sessions can expire or be invalidated. Re-run the login flow by deleting the saved session file and restarting the MCP server to trigger a fresh login.
Image or video upload fails during post creation
Ensure the file paths provided are absolute paths and that the files exist and are readable. Supported image formats are JPG, PNG, and GIF; supported video formats are MP4, MOV, and AVI. HTTP/HTTPS URLs are also accepted alongside local paths.
Frequently Asked Questions about Xiaohongshu
What is Xiaohongshu?
Xiaohongshu is a Model Context Protocol (MCP) server that xiaohongshu-mcp-python 是一个基于现代 python 技术栈开发的小红书内容自动化发布工具，通过 model context protocol（mcp）协议为 ai 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式（jpg、png、gif）和视频格式（mp4、mov、avi），既可处理本地文件路径，也支持 http/https 链接，为用户提供灵活的内容发布方案。 该 It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Xiaohongshu?
Follow the installation instructions on the Xiaohongshu GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Xiaohongshu?
Xiaohongshu works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Xiaohongshu free to use?
Yes, Xiaohongshu is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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