What is the Zhihu Auto-Publishing MCP Server?

It is a specialized application that automates the creation and publishing of articles on Zhihu using large language models (LLMs).

How does the MCP Server work?

It acts as a bridge between LLMs and the Zhihu platform, automating the process of content generation and posting using Selenium and ChromeDriver.

What are the key features of this MCP Server?

Key features include automated article posting, integration with LLMs, Selenium and ChromeDriver integration, cookie management, customizable settings, and error handling.

What prerequisites are required for installation?

You need Python 3.10 or higher, and the necessary Python packages listed in requirements.txt. You also need Google Chrome and the corresponding ChromeDriver version.

How do I install the required Python packages?

You can install them using pip install -r requirements.txt.

How do I save my Zhihu login cookies?

Run the command python -m zh_mcp_server.__login__, enter your mobile phone account and verification code in the opened browser.

How do I configure the MCP service in my MCP client?

Configure the service with the appropriate command and arguments, ensuring to include encoding settings if using with Java-based applications.

How can I debug the MCP server?

Disable headless browser mode by setting headless=False in server.py.

How does the Zhihu Auto-Publishing MCP Server integrate with UBOS?

It seamlessly integrates with the UBOS platform, enabling users to leverage the full range of UBOS’s AI agent development capabilities and manage automation tasks from a central dashboard.

What are the benefits of using UBOS with this MCP Server?

Benefits include increased efficiency, improved content quality, enhanced scalability, reduced costs, and better insights into content performance.