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Canvas课程管理平台

一种模型上下文协议服务器,可实现与Canvas学习管理系统API的交互,使用户能够在Canvas中管理课程、作业、注册和成绩。

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README

Canvas MCP Server

A Model Context Protocol (MCP) server for interacting with the Canvas API. This server allows you to manage courses, assignments, enrollments, and grades within Canvas.

Prerequisites

  • Node.js: Version 18 or higher
  • Canvas API Token: Obtain from your Canvas account
  • Canvas Domain: Typically canvas.instructure.com

Setup

  1. Clone the Repository

    git clone https://github.com/yourusername/canvas-mcp-server.git
    cd canvas-mcp-server
    
    
  2. Install Dependencies

    npm install
    
  3. Configure Environment Variables

Copy the example environment file:

cp .env.example .env

Edit .env and replace the placeholder values with your actual Canvas API token and domain.

Build the Project

npm run build
  1. Run the Server

    npm start
    

    The server will start and listen for MCP requests via stdio.

Connecting to Claude Desktop

  1. Update Claude Configuration

    Add the MCP server configuration to your claude_desktop_config.json:

  "canvas-mcp-server": {
      "command": "npx",
      "args": ["-y", "canvas-mcp-server"]
    },

Restart Claude Desktop

Quit Claude Desktop completely. Start Claude Desktop again. Navigate to the 🔌 menu to find and connect your Canvas MCP server.

Available Tools (more student focused stuff coming soon)

  • canvas_create_course: Create a new course in Canvas.
  • canvas_update_course: Update an existing course in Canvas.
  • canvas_create_assignment: Create a new assignment in a Canvas course.
  • canvas_update_assignment: Update an existing assignment.
  • canvas_submit_grade: Submit a grade for a student's assignment.
  • canvas_enroll_user: Enroll a user in a course.

Error Handling

Tools return error messages with isError: true to indicate issues. Ensure all required environment variables are set to avoid runtime errors.

Troubleshooting

  • Build Errors:

Check TypeScript version: npx tsc --version Clean and rebuild: rm -rf build/ && npm run build

  • Runtime Errors:

    Check logs for detailed error messages. Ensure environment variables are correctly set.

  • Type Errors:

    Validate types using TypeScript's type checking: npx tsc --noEmit

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License.


Additional Notes

  • Type Safety: The types.ts file ensures that all interactions with the Canvas API are type-safe, reducing runtime errors and improving code maintainability.

  • Error Handling: The server gracefully handles errors by returning meaningful messages with the isError flag, allowing the client (e.g., Claude Desktop) to understand and react appropriately.

  • Environment Variables: Sensitive information like API tokens are managed through environment variables, enhancing security and flexibility across different environments.

  • Modularity: Separating concerns into different files (types.ts, client.ts, index.ts) makes the codebase easier to navigate and maintain.

Feel free to adjust the file paths and configurations according to your project's specific needs. Let me know if you need further assistance!

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端