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zh_mcp_server介绍

zh_mcp_server介绍

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github.com/VictorzwxSocial Media38Updated 78w ago

About zh_mcp_server介绍

zh_mcp_server is an MCP server for publishing articles to Zhihu. It lets users generate article content with an LLM and post it through Selenium-driven browser automation, aimed at users who want to automate Zhihu publishing.

Key features

  1. 01Generate article content with an LLM
  2. 02Automate posting with Selenium and ChromeDriver
  3. 03Save personal cookies through a login script
  4. 04Headless mode and visible browser debugging

Use cases

  1. 01Generate and publish Zhihu articles from an MCP client
  2. 02Watch browser actions while debugging LLM tool calls

MCP support

The project runs as an MCP server, providing an article publishing capability to MCP clients such as Cherry Studio.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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. 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

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