Zhihu MCP Server
A Model Context Protocol server that enables users to automatically generate articles using large language models and publish them directly to Zhihu (a Chinese Q\&A platform).
README
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. 环境配置前提
- 方式1：
python版本要求 >= 3.10
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 chromedriver@134.0.6998.166
- 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
2. 克隆代码
git https://github.com/Victorzwx/MCP_Server_ZhiHu.git
在该代码文件夹下运行初始化代码，保存个人cookie
python -m MCP_Server_ZhiHu.__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 MCP_Server_ZhiHu.__login__的终端，这很重要！
3. 配置MCP服务
通过python的方式运行
"xhs_mcp_server": {
"command": "python",
"args": [
"-m",
"MCP_Server_ZhiHu"
]
}
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：
"xhs_mcp_server": {
"command": "D:\\aconda\\python.exe",
"args": [
"-m",
"xhs_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
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