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Canvas LMS MCP Server

@ahnopologetic

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

ahnopologetic

关于 Canvas LMS MCP Server

暂无概览

Canvas LMS MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": [
        "canvas-lms-mcp"
      ],
      "env": {
        "CANVAS_API_TOKEN": "your_canvas_api_token",
        "CANVAS_BASE_URL": "https://your-institution.instructure.com"
      }
    }
  }
}

Canvas LMS MCP Server 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Canvas LMS MCP Server?

Canvas LMS MCP Server is a minimal Model Context Protocol (MCP) server that provides a bridge between AI systems (like Cursor) and the Canvas Learning Management System. It allows AI assistants to access educational data such as courses, assignments, grades, announcements, discussions, and more from a Canvas instance. The server is intended for students, instructors, and developers who want to query Canvas data through AI-powered tools.

How to use Canvas LMS MCP Server?

Install the server via uvx (recommended) or from source. Set the CANVAS_API_TOKEN and CANVAS_BASE_URL environment variables (the API token is obtained from Canvas account settings). Start the server with uv run src/canvas_lms_mcp/main.py or canvas-lms-mcp if installed as a tool. Then configure any MCP‑compatible client (e.g., Claude Desktop, Claude Code, Cursor, Windsurf) with the JSON config specifying the command uvx and arguments ["canvas-lms-mcp"] plus the required environment variables.

Key features of Canvas LMS MCP Server

  • List enrolled courses and get course details, syllabus, modules, and module items
  • Retrieve assignments with optional submission status and grade weighting
  • Get course pages, submissions with grades, and announcements across courses
  • List and view discussion topics and full threads
  • Access calendar events with date filtering and planner items
  • View enrollments with grades, quizzes (classic only), and files
  • Get course navigation tabs and favorite courses

Use cases of Canvas LMS MCP Server

  • Ask your AI assistant “What assignments do I have due next week?”
  • Request the syllabus for a specific course
  • Retrieve recent announcements posted across multiple courses
  • Get your current grades and submission feedback
  • Check your schedule or planner items for a given date range

常见问题

1

What clients does Canvas LMS MCP Server work with?

It works with any client that supports the Model Context Protocol, including Claude Desktop, Claude Code, Cursor, Windsurf, and others.

2

What are the prerequisites to run the server?

You need Python 3.13+, a Canvas API token, and the `uv` package manager (recommended).

3

How do I obtain a Canvas API token?

Go to Canvas → Account → Settings → New Access Token to generate one.

4

Does the server work with New Quizzes (quiz_lti)?

No; the quiz tools only work with Classic Quizzes, not New Quizzes.

5

Are there any known limitations?

The `list_files` function may return a 403 error for student accounts, depending on institution permissions. However, `get_file` can still retrieve a file if you know its ID.

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