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Claude Canvas MCP Server

@johnnyrobot

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

johnnyrobot

关于 Claude Canvas MCP Server

A Claude desktop MCP server for controlling the Canvas LMS REST API

Claude Canvas MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Claude Canvas MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Claude Canvas MCP?

Claude Canvas MCP is a Model Context Protocol server that enables Claude to interact with Canvas LMS through the Canvas API. It provides tools for managing courses, announcements, assignments, students, files, and more. This server is designed for educators and administrators who use Canvas and want to automate workflows via Claude.

How to use Claude Canvas MCP?

Install dependencies with npm install, build the TypeScript project with npm run build, then configure environment variables in a .env file with your Canvas API token and domain. Finally, add the server to Claude Desktop’s configuration file (claude_desktop_config.json) under mcpServers, pointing to the built index.js and setting CANVAS_API_TOKEN and CANVAS_DOMAIN. Restart Claude Desktop to start using the tools.

Key features of Claude Canvas MCP

  • List active courses and their details
  • Retrieve course modules, pages, and content
  • View assignments, quizzes, and discussions
  • Access student enrollment information
  • Post announcements and comments
  • View submission details and grades
  • Upload and download files
  • Manage rubrics and grades

Use cases of Claude Canvas MCP

  • Automatically list all active courses for a user
  • Post an announcement to a course from a prompt
  • View all student submissions for an assignment
  • Upload a file to a course folder
  • Retrieve detailed information about a specific course, module, or assignment

常见问题

1

What are the prerequisites for running Claude Canvas MCP?

You need Node.js v16 or higher, a Canvas API token, a Canvas instance URL (defaults to `http://canvas.docker/`), and the Claude Desktop application.

2

How do I configure the server with my Canvas instance?

Set the `CANVAS_API_TOKEN` and `CANVAS_DOMAIN` environment variables in your `.env` file or in the `env` section of the Claude Desktop configuration.

3

Where does my Canvas data live?

Data stays in your Canvas instance; the server acts as a bridge via the Canvas API and does not store any data locally.

4

What transport does the server use?

The server runs as a subprocess of Claude Desktop via stdio, as defined by the `command` and `args` in the Claude Desktop configuration.

5

What authentication method is required?

The server uses a Canvas API token provided via the `CANVAS_API_TOKEN` environment variable.

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