RateMyProfessors MCP Server
An unofficial MCP server for RateMyProfessors.com that enables fetching professor ratings, reviews, and comments. Integrates with MCP clients like Claude Desktop.
README
RateMyProfessors MCP Server

An unofficial MCP Server implementation for RateMyProfessors.com.
It allows you to fetch a professor's ratings, reviews and comments with an MCP client.
Features
- Search for professors by name and school.
- Get ratings, reviews, and comments.
- Easy integration with MCP clients like (Claude Desktop, VSCode, etc.).
Requirements
- Node.js 16 or newer (install node if you haven't)
- Claude Desktop or any other MCP client
Installation
Clone the repository and install dependencies:
git clone https://github.com/tohmze/ratemyprofessors-mcp.git
cd ratemyprofessors-mcp
npm install
Build the server
npm run build
Testing the MCP Server with Claude Desktop
Setup Claude Desktop Config file
To use the ratemyprofessors MCP server, you’ll need to set it up in Claude for Desktop. Open the configuration file located at ~/Library/Application Support/Claude/claude_desktop_config.json with a text editor. If the file isn’t there yet, go ahead and create it.
If you have VSCode, Open with:
- Mac:
code ~/Library/Application\ Support/Claude/claude_desktop_config.json - Windows:
code $env:AppData\Claude\claude_desktop_config.json
Copy the appropriate configuration snippet for your OS below and replace the placeholder path with the absolute path to your build folder. <details> <summary>macOS / Linux</summary>
{
"mcpServers": {
"rate-my-prof": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/PARENT/FOLDER/ratemyprofessors-mcp/build/index.js"]
}
}
}
</details>
<details> <summary>Windows</summary>
{
"mcpServers": {
"rate-my-prof": {
"command": "node",
"args": ["C:\\PATH\\TO\\PARENT\\FOLDER\\ratemyprofessors-mcp\\build\\index.js"]
}
}
}
</details>
Open Claude for Desktop
Click The Tool

You should see the rate-my-prof tool listed

Congrats 🥳 the server is ready to use!
Demo
Demo of using the RateMyProf MCP server in Claude Desktop:

Acknowledgements
This project uses the rmp-ts-api Typescript Wrapper API by @DeveloperMindset123. Big thanks for making it!
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。