Canvas Lms MCP
The Canvas LMS MCP server is a bridge connecting an AI system and the Canvas Learning Management System, providing access to educational data such as courses, assignments, and quizzes.
rating : 2 points
downloads : 4.3K
What is the Canvas LMS MCP Server?
The Canvas LMS MCP server is a bridge connecting the Canvas Learning Management System (LMS) and an AI system, allowing you to easily access course information, assignments, quizzes, and other content.How to use the Canvas LMS MCP Server?
Simply install the server and configure your API token and base URL to start using it. Through simple commands or API calls, you can quickly obtain the required data.Use Cases
Suitable for teachers, students, and developers who need real-time access to educational data, such as for automated tasks, data analysis, or integration into other tools.Main Features
List planner items
List your planner items, including assignments, quizzes, etc.
Get and list assignments
Get a single assignment or list all assignments.
Get and list quizzes
Get a single quiz or list all quizzes.
Get and list courses
Get a single course or list all courses.
Get course syllabus
Get the syllabus for a specific course.
Get course modules
Get the modules for a specific course.
List files
List files in a course or folder.
Advantages
Easy to install and configure
Supports multiple functions, such as assignment, quiz, and course management
Seamless integration with AI systems
Limitations
Requires a Canvas API token
May require a certain technical background for initial setup
How to Use
Install the server
Install the server using the uvx tool without permanent installation.
Configure environment variables
Set CANVAS_API_TOKEN and CANVAS_BASE_URL.
Start the server
Run the server and check the FastMCP interface.
Usage Examples
List upcoming assignments
Get a list of upcoming assignments with deadlines.
View course syllabus
Get the syllabus for a specific course.
Frequently Asked Questions
How do I get my Canvas API token?
What functions does the server support?
Related Resources
Official Documentation
Detailed installation and configuration guide.
GitHub Repository
Source code and contribution guide.

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