Classroom Suite MCP

Classroom Suite MCP

Unified MCP server for Google Classroom, Drive, and Docs, enabling AI assistants to manage courses, assignments, files, and documents.

Category
访问服务器

README

🎓 Classroom Suite MCP

A unified MCP (Model Context Protocol) server for Google Workspace education tools - seamlessly integrate Google Classroom, Google Drive, and Google Docs with AI assistants like Claude.

PyPI version License: MIT Python 3.10+

✨ Features

Service Tools Description
📚 Classroom 6 Manage courses, assignments, and submissions
📁 Drive 7 Create, upload, download, and share files
📝 Docs 4 Create, read, edit documents and export to PDF

17 tools total - Everything you need for education automation!

🚀 Installation

Using uvx (Recommended)

uvx classroom-suite-mcp

Using pip

pip install classroom-suite-mcp

From Source

git clone https://github.com/anasdevai/classroom-suite-mcp.git
cd classroom-suite-mcp
pip install -e .

🔐 Google Cloud Setup

Before using this server, you need to set up Google Cloud credentials:

1. Create a Google Cloud Project

  1. Go to Google Cloud Console
  2. Create a new project or select an existing one
  3. Enable the following APIs:
    • Google Classroom API
    • Google Drive API
    • Google Docs API

2. Create OAuth Credentials

  1. Go to APIs & Services > Credentials
  2. Click Create Credentials > OAuth client ID
  3. Select Desktop app as the application type
  4. Download the credentials as credentials.json

3. Configure the Server

Place credentials.json in your working directory, or set the path:

export GOOGLE_CREDENTIALS_PATH=/path/to/credentials.json

On first run, a browser window will open for OAuth authentication.

⚙️ Configuration

Environment Variables

Variable Default Description
GOOGLE_CREDENTIALS_PATH credentials.json Path to OAuth credentials file
GOOGLE_TOKEN_PATH token.json Path to store auth token

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "classroom-suite": {
      "command": "uvx",
      "args": ["classroom-suite-mcp"]
    }
  }
}

Or with pip installation:

{
  "mcpServers": {
    "classroom-suite": {
      "command": "classroom-suite-mcp"
    }
  }
}

🛠️ Available Tools

Google Classroom (6 tools)

Tool Description
list_courses List all enrolled courses
get_course Get course details
list_assignments List course assignments
get_assignment Get assignment details
list_submissions List assignment submissions
submit_assignment Submit work with attachments

Google Drive (7 tools)

Tool Description
list_files List files and folders
search_files Search by name or content
create_folder Create a new folder
upload_file Upload a file
download_file Download a file
share_file Share with users or publicly
delete_file Move to trash or delete

Google Docs (4 tools)

Tool Description
create_doc Create a new document
read_doc Read document content
update_doc Append, prepend, or replace text
export_pdf Export as PDF

📖 Usage Examples

With Claude

You: List my Google Classroom courses

Claude: I'll list your courses using the classroom-suite-mcp tools.
[Uses list_courses tool]

Here are your courses:
1. Introduction to Computer Science (ACTIVE)
2. Data Structures and Algorithms (ACTIVE)
...

Common Workflows

Check assignments and submit:

1. list_courses → Get course ID
2. list_assignments → Find pending assignment
3. create_doc → Create solution document
4. submit_assignment → Submit with Drive file

Organize course materials:

1. create_folder → Create organized folder
2. upload_file → Upload materials
3. share_file → Share with classmates

🧪 Development

Running Locally

# Clone the repository
git clone https://github.com/anasdevai/classroom-suite-mcp.git
cd classroom-suite-mcp

# Install dependencies
pip install -e .

# Run with stdio transport (for MCP clients)
classroom-suite-mcp

# Run with HTTP transport (for testing)
classroom-suite-mcp --transport http --port 8000

Testing with MCP Inspector

npx @anthropic-ai/mcp-inspector classroom-suite-mcp

📄 License

MIT License - see LICENSE for details.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📬 Support


Made with ❤️ for educators and students

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选