Canvas

AI 与智能体

by aryankeluskar

Canvas MCP 是面向 model context protocol 的 Canvas LMS 工具集,可查询课程内容,并在你常用的 AI 应用中获取作业帮助。

什么是 Canvas

Canvas MCP 是面向 model context protocol 的 Canvas LMS 工具集,可查询课程内容,并在你常用的 AI 应用中获取作业帮助。

核心功能 (13 个工具)

get_courses

Retrieve all available Canvas courses for the current user. Returns a dictionary mapping course names to their corresponding IDs.

get_modules

Retrieve all modules within a specific Canvas course.

get_module_items

Retrieve all items within a specific module in a Canvas course.

get_file_url

Get the direct download URL for a file stored in Canvas.

get_course_assignments

Retrieve all assignments for a specific Canvas course.

get_assignments_by_course_name

Retrieve all assignments for a Canvas course using its name.

get_canvas_courses

Alias for get_courses - retrieve all Canvas courses.

get_gradescope_courses

Retrieve all Gradescope courses for the current user.

get_gradescope_course_by_name

Find a Gradescope course by name.

get_gradescope_assignments

Retrieve all assignments for a Gradescope course.

get_gradescope_assignment_by_name

Find a Gradescope assignment by name.

get_cache_stats

Get cache statistics for debugging purposes. Returns hit/miss counts and cache size.

clear_cache

Clear all cached data. Use this if you need fresh data from Canvas or Gradescope.

README

Canvas MCP

Canvas MCP is a set of tools that allows your AI agents to interact with Canvas LMS and Gradescope.

gradescope

example

Features

  • Find relevant resources - Ability to find relevant resources for a given query in natural language!
  • Query upcoming assignments - Not only fetch upcoming assignments, but also provide its breakdown for a given course.
  • Get courses and assignments from Gradescope - Query your Gradescope courses and assignments with natural language, get submission status, and more!
  • Get courses
  • Get modules
  • Get module items
  • Get file url
  • Get calendar events
  • Get assignments
  • and so much more...

Usage

Note down the following beforehand:

  1. Canvas API Key from Canvas > Account > Settings > Approved Integrations > New Access Token
  2. Gradescope Email and Password https://www.gradescope.com/

Installing via Smithery (Preferred)

To install Canvas MCP for Claude Code via Smithery:

bash
npx -y @smithery/cli@latest mcp add aryankeluskar/canvas-mcp --client claude-code

Or, for Cursor IDE to use canvas-mcp with other models:

bash
npx -y @smithery/cli install aryankeluskar/canvas-mcp --client cursor

Or, for ChatGPT:

  1. Enable Developer Mode in settings, if not already enabled
  2. Go to ChatGPT Settings > Connectors and click Create to add this server URL: https://canvas-mcp--aryankeluskar.run.tools

Manual Configuration (ONLY for local instances)

Create a .env file in the root directory with the following environment variables:

code
SNITHERY_API_KEY=your_snithery_api_key

Add the following to your mcp.json or claude_desktop_config.json file:

json
{
  "mcpServers": {
      "canvas": {
          "command": "npx",
          "args": [
              "-y",
              "@smithery/cli",
              "run",
              "@aryankeluskar/canvas-mcp"
          ]
      }
  }
}

Built by Aryan Keluskar :)

常见问题

Canvas 是什么?

Canvas MCP 是面向 model context protocol 的 Canvas LMS 工具集,可查询课程内容,并在你常用的 AI 应用中获取作业帮助。

Canvas 提供哪些工具?

提供 13 个工具,包括 get_courses、get_modules、get_module_items

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