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- zh_mcp_server
Zh Mcp Server
What is Zh Mcp Server
zh_mcp_server is an automatic posting service for Zhihu, utilizing a Model Context Protocol (MCP) to enable users to generate and publish articles on Zhihu seamlessly.
Use cases
Use cases for zh_mcp_server include automating content posting for bloggers, generating articles for marketing purposes, and assisting researchers in disseminating their findings on Zhihu.
How to use
To use zh_mcp_server, first configure the environment by ensuring Python version >= 3.10 and installing required packages from requirements.txt. Clone the repository, run the login script to save your cookies, and configure the MCP service to start using it.
Key features
Key features include automatic article generation, easy integration with large models, support for Python and Java environments, and the ability to debug interactions with the MCP service.
Where to use
zh_mcp_server is primarily used in content creation and automation fields, particularly for platforms like Zhihu where users want to publish articles efficiently.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Zh Mcp Server
zh_mcp_server is an automatic posting service for Zhihu, utilizing a Model Context Protocol (MCP) to enable users to generate and publish articles on Zhihu seamlessly.
Use cases
Use cases for zh_mcp_server include automating content posting for bloggers, generating articles for marketing purposes, and assisting researchers in disseminating their findings on Zhihu.
How to use
To use zh_mcp_server, first configure the environment by ensuring Python version >= 3.10 and installing required packages from requirements.txt. Clone the repository, run the login script to save your cookies, and configure the MCP service to start using it.
Key features
Key features include automatic article generation, easy integration with large models, support for Python and Java environments, and the ability to debug interactions with the MCP service.
Where to use
zh_mcp_server is primarily used in content creation and automation fields, particularly for platforms like Zhihu where users want to publish articles efficiently.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
zh_mcp_server介绍
一种用于知乎发文章的模型上下文协议(MCP)服务器,使用者可以通过该服务与大模型自动生成文章并在知乎发文章。
使用方法
1. 克隆代码
git https://github.com/Victorzwx/zh_mcp_server.git
2. 环境配置前提
建议在Windows环境下运行
python版本要求 >= 3.10
- 方式1:
配置环境要求满足 requirements.txt 文件的要求
- selenium>=4.0.0
- requests>=2.25.1
- mcp>=0.1.0
- webdriver-manager>=3.8.0
可以通过如下代码安装:
pip install -r requirements.txt
然后安装ChromeDriver,本项目依赖于谷歌浏览器,134.0.6998.166是版本号,需要手动查询使用者电脑上的谷歌浏览器版本
npx @puppeteer/browsers install [email protected]
- 方式2:
运行setup_environment.py,如果该方式失败则有可能是ChromeDriver版本不正确,建议以方式1重新安装
python setup_environment.py
3.保存个人cookie
在该代码文件夹下运行保存cookie的代码:
python -m zh_mcp_server.__login__
- 注意运行后会自动打开谷歌浏览器
- 在谷歌浏览器输入使用者的手机账号,然后点击获取验证码
- 然后,将得到的验证码输入到Terminal,即运行python -m zh_mcp_server.__login__的终端,这很重要!
4. 在MCP客户端(如Cherry Studio)配置MCP服务
通过python的方式运行
"zh_mcp_server": { "command": "python", "args": [ "-m", "zh_mcp_server" ] }
然后就可以使用了
如果是通过代码使用该MCP服务,如基于Spring AI的JAVA代码,还需要加上编码方式,以避免生成乱码:
"zh_mcp_server": { "command": "D:\\aconda\\python.exe", "args": [ "-m", "zh_mcp_server", "--encoding=utf-8" ], "env": { "PYTHONIOENCODING": "utf-8" } }
调试
如果需要调试大模型调用该MCP服务时的具体过程或者可视化浏览器的操作,需要关闭无头浏览器模式,如下:
poster = ZhuHuPoster(path, headless=True)##如果要调试,请设置为False
代码位于server.py中
CSDN
微信
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










