Recently, a small red book automation tool called xiaohongshu-mcp has attracted industry attention. This open-source project based on the Model Context Protocol (MCP) uses artificial intelligence technology to achieve automated login, content posting, and data retrieval on the Xiaohongshu platform, providing users with a more convenient operation experience. Below, AIbase will give you a detailed analysis of the features and potential of this tool.
One-click automation, liberating content creation
xiaohongshu-mcp is an automation tool specifically designed for the Xiaohongshu platform, supporting users to complete account login, image and text content posting, and the acquisition of recommended lists and search content through simple configuration and command-line operations. Thanks to the support of the MCP protocol, the tool can be seamlessly integrated into various AI clients (such as Claude Desktop, CherryStudio, etc.), allowing users to perform complex operational processes simply by interacting with AI.
For example, content creators can quickly post image and text posts through scripting without manually opening the Xiaohongshu app each time to edit content. According to AIbase, this tool is especially suitable for users who need to batch post content or conduct market research, significantly improving operational efficiency.
Smart login, persistent experience
When using xiaohongshu-mcp for the first time, users need to complete the login by scanning a QR code manually, and the tool will automatically save the login status to the local (such as the `cookies.json` file). Subsequent operations do not require repeated logins, greatly simplifying the usage process. AIbase's tests found that this persistent login feature ensures the continuity and stability of operations, avoiding the trouble caused by frequent logins.
In addition, the tool provides services through the HTTP JSON-RPC protocol and runs on a local port (such as the default port 18060), allowing developers to easily integrate it into their existing workflows, making it suitable for users with certain programming skills.
Leading in image and text posting, future functions are promising
Currently, the core function of xiaohongshu-mcp focuses on the automation of image and text content posting. Users can quickly upload posts containing text and images through simple commands or API calls. For example, a food blogger can use this tool to batch post restaurant reviews, including information such as restaurant addresses, average consumption, and recommendation ratings, saving the cumbersome manual operations.
According to the project documentation, AIbase learned that the tool plans to expand more functions in the future, including search functionality, video posting, and data analysis. These updates will further enhance its application value in content management and social media marketing.
Developer-friendly, open ecosystem
As an open-source project, xiaohongshu-mcp is developed using the Go language, with a clear code structure and easy to redevelop. The project supports cloning via GitHub and quick deployment, and developers just need to install the Go environment and related dependencies to run the tool. AIbase noticed that the project also provides detailed command-line operation guides, such as `rednote-mcp init` for initializing login and `npm run dev` for running in development mode, lowering the technical barrier.
In addition, the tool is compatible with multiple MCP clients, and developers can contribute code to expand functions, such as adding automated processing of Xiaohongshu hashtags or optimizing content posting efficiency.
Compliant use, avoid risks
AIbase reminds users that although xiaohongshu-mcp is powerful, they must strictly comply with Xiaohongshu platform's usage regulations during use. Frequent automated operations or improper content posting may cause the account to be marked as "suspected AI-generated," affecting traffic or facing suspension risks. Therefore, it is recommended that users reasonably control the operation frequency, such as no more than 30 comments per day, and ensure that the posted content complies with the platform's review standards.
Conclusion: A new future driven by AI in social media
The emergence of xiaohongshu-mcp marks the deep application of AI technology in the field of social media operations. Whether for content creators, marketing teams, or developers, this tool provides an efficient and flexible solution. AIbase believes that with the continuous iteration of functions and the joint development of the community, xiaohongshu-mcp is expected to become an important part of the Xiaohongshu ecosystem, helping users stand out in the competitive social media environment.
Project Address: https://github.com/xpzouying/xiaohongshu-mcp
