Canvas Lms MCP
C

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.
2 points
6.1K

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.

Installation

Copy the following command to your Client for configuration
{
       "mcpServers": {
           "canvas": {
               "command": "uvx",
               "args": [
                    "canvas-lms-mcp"
               ],
               "env": {
                   "CANVAS_API_TOKEN": "your_canvas_api_token",
                   "CANVAS_BASE_URL": "https://your-institution.instructure.com"
               }
           }
       }
   }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.1K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.9K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.1K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
8.4K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.9K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
9.0K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.3K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.6K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
65.4K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
32.2K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
29.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
88.5K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
43.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase