A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.
What is 54yyyu school mcp
School MCP
A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.
Features
- Assignment Deadlines: Fetch and display upcoming deadlines from Canvas and Gradescope
- Calendar Integration: Add deadlines to macOS Calendar or Reminders using AppleScript
- File Management: Download course materials from Canvas
Quickstart
Installation
Installing via Smithery
To install School MCP for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @54yyyu/school-mcp --client claude
- Clone the repository:
git clone https://github.com/yourusername/school-mcp.git
cd school-mcp
- Install the package:
pip install -e .
- Set up your environment variables by either:
- Using the included setup helper (recommended)
- Creating a
.env
file manually
Using the Setup Helper
Run the setup helper to configure Claude Desktop automatically:
python setup_helper.py
The setup helper will:
- Find your Claude Desktop configuration file
- Create a
.env
file if needed - Configure the MCP server with proper paths
- Add your environment variables to the Claude Desktop configuration
Manual Setup
If you prefer to set up manually:
- Copy the environment template:
cp .env.template .env
# Edit .env with your credentials
- Configure Claude Desktop by following the Claude Desktop Integration Guide.
Running the server
Run directly:
python -m school_mcp
Or use the convenience script:
./run_server.py
Tools
get_deadlines
: Fetch upcoming assignment deadlines from Canvas and Gradescopeadd_to_reminders
: Add assignments to macOS Reminderslist_courses
: List all available Canvas coursesdownload_course_files
: Download files from a Canvas courseset_download_path
: Configure where downloaded files are savedget_download_path_info
: Check the current download location
Configuration
The server tries to find configuration in this order:
- Environment variables
.env
file in the current directory- Existing
config.json
file in the home directory
License
MIT
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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