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_coursesRetrieve all available Canvas courses for the current user. Returns a dictionary mapping course names to their corresponding IDs.
get_modulesRetrieve all modules within a specific Canvas course.
get_module_itemsRetrieve all items within a specific module in a Canvas course.
get_file_urlGet the direct download URL for a file stored in Canvas.
get_course_assignmentsRetrieve all assignments for a specific Canvas course.
get_assignments_by_course_nameRetrieve all assignments for a Canvas course using its name.
get_canvas_coursesAlias for get_courses - retrieve all Canvas courses.
get_gradescope_coursesRetrieve all Gradescope courses for the current user.
get_gradescope_course_by_nameFind a Gradescope course by name.
get_gradescope_assignmentsRetrieve all assignments for a Gradescope course.
get_gradescope_assignment_by_nameFind a Gradescope assignment by name.
get_cache_statsGet cache statistics for debugging purposes. Returns hit/miss counts and cache size.
clear_cacheClear 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.


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:
- Canvas API Key from
Canvas > Account > Settings > Approved Integrations > New Access Token - Gradescope Email and Password https://www.gradescope.com/
Installing via Smithery (Preferred)
To install Canvas MCP for Claude Code via Smithery:
npx -y @smithery/cli@latest mcp add aryankeluskar/canvas-mcp --client claude-code
Or, for Cursor IDE to use canvas-mcp with other models:
npx -y @smithery/cli install aryankeluskar/canvas-mcp --client cursor
Or, for ChatGPT:
- Enable Developer Mode in settings, if not already enabled
- Go to
ChatGPT Settings > Connectorsand 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:
SNITHERY_API_KEY=your_snithery_api_key
Add the following to your mcp.json or claude_desktop_config.json file:
{
"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 等。
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