Enables interaction with Canvas LMS to manage courses, announcements, rubrics, assignments, and student data. Provides tools for listing courses, posting announcements, viewing rubrics, accessing enrollment information, and retrieving assignment details and submissions.
Canvas MCP Server
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Canvas LMS. This server provides tools for managing courses, announcements, rubrics, assignments, and student data through the Canvas API.
Features
- List active courses and their details
- Post announcements to courses
- View course rubrics
- Get student enrollment information
- Access assignment details and submissions
- View student submission history and comments
Prerequisites
- Node.js (v16 or higher)
- A Canvas API token
- Canvas instance URL (defaults to "https://fhict.instructure.com")
Installation
- Clone this repository and install dependencies:
- Build the TypeScript project:
- Configure your environment variables:
Claude Desktop Integration
- Open Claude Desktop's configuration file:MacOS:Windows:
- Add the Canvas MCP server configuration:
- Restart Claude Desktop to apply changes
Available Tools
list-courses
Lists all active courses for the authenticated user
- No required parameters
- Returns course names, IDs, and term information
post-announcement
Posts an announcement to a specific course
- Required parameters:
- courseId: string
- title: string
- message: string
list-rubrics
Lists all rubrics for a specific course
- Required parameters:
- courseId: string
- Returns rubric titles, IDs, and descriptions
list-students
Gets a complete list of students enrolled in a course
- Required parameters:
- courseId: string
- Optional parameters:
- includeEmail: boolean (default: false)
- Returns student names, IDs, and optional email addresses
list-assignments
Gets all assignments in a course with submission status
- Required parameters:
- courseId: string
- Optional parameters:
- studentId: string
- includeSubmissionHistory: boolean (default: false)
- Returns assignment details and submission status
list-assignment-submissions
Gets all student submissions for a specific assignment
- Required parameters:
- courseId: string
- assignmentId: string
- Optional parameters:
- includeComments: boolean (default: true)
- Returns submission details, grades, and comments
Available Prompts
analyze-rubric-statistics
Analyzes rubric statistics for formative assignments in a course and creates visualizations
- Required parameters:
- courseName: string (The name of the course to analyze)
- Creates two comprehensive visualizations:
- Grouped stacked bar chart showing score distribution per criterion across all assignments
- Grouped bar chart showing average scores per criterion for all assignments
- Provides comparative analysis across assignments and criteria
- Includes progression analysis and trend identification
Troubleshooting
Common Issues
- Server not appearing in Claude Desktop:
- Verify configuration file syntax
- Check file paths are absolute
- Ensure Canvas API token is valid
- Restart Claude Desktop
- Connection errors:
- Check Canvas API token permissions
- Verify Canvas instance is accessible
- Review Claude's MCP logs:
Debug Logging
The server logs errors to stderr. These can be viewed in Claude Desktop's logs or redirected when running manually:
Security Notes
- API Token Security:
- Never commit your Canvas API token to version control
- Use environment variables or secure configuration
- Regularly rotate your API tokens
- Permissions:
- Use tokens with minimum required permissions
- Review Canvas API access logs periodically
License
MIT License
Copyright (c) 2024
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables AI assistants like Claude to interact with Canvas LMS through the Canvas API, providing tools for managing courses, announcements, rubrics, assignments, and student data.
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