remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

Allows AI agents to interact with Canvas LMS by finding relevant resources, retrieving course information, accessing modules and module items, getting file URLs, with planned features for calendar events, assignments, and various analysis capabilities.
Integrates with Google's Gemini API for AI-powered features, specifically for finding relevant resources in Canvas LMS based on natural language queries.

帆布 MCP

Canvas MCP 是一套工具，允许您的 AI 代理与 Canvas LMS 和 Gradescope 进行交互。

特征

查找相关资源- 能够使用自然语言查找给定查询的相关资源！
查询即将到来的作业- 不仅获取即将到来的作业，还提供给定课程的细目分类。
从 Gradescope 获取课程和作业- 使用自然语言查询您的 Gradescope 课程和作业，获取提交状态等等！
获取课程
获取模块
获取模块项
获取文件 URL
获取日历事件
获取作业
还有更多...

用法

事先记下以下事项：

Canvas API 密钥来自Canvas > Account > Settings > Approved Integrations > New Access Token
Gemini API 密钥来自https://aistudio.google.com/app/apikey
Gradescope 电子邮件和密码https://www.gradescope.com/

通过 Smithery 安装（首选）

要通过Smithery自动为 Claude Desktop 安装 Canvas MCP：

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

或者，对于 Cursor IDE，将 canvas-mcp 与其他模型一起使用：

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

或者，对于 Windsurf：

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

手动安装（仅适用于本地实例）

下载存储库并运行以下命令：

git clone https://github.com/aryankeluskar/canvas-mcp.git
cd canvas-mcp

# Install dependencies with uv (recommended)
pip install uv
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -r requirements.txt

# Or install with pip
pip install -r requirements.txt

手动配置

在根目录中创建一个.env文件，其中包含以下环境变量：

CANVAS_API_KEY=your_canvas_api_key
GEMINI_API_KEY=your_gemini_api_key

将以下内容添加到您的mcp.json或claude_desktop_config.json文件中：

{
  "mcpServers": {
      "canvas": {
          "command": "uv",
          "args": [
              "--directory",
              "/Users/aryank/Developer/canvas-mcp",
              "run",
              "canvas.py"
          ]
      }
  }
}

由Aryan Keluskar建造 :)

This server cannot be installed

-

security - not tested

A

license - permissive license

-

quality - not tested

一组使 AI 代理能够与 Canvas LMS 交互的工具，允许用户查找相关资源、获取课程信息并通过自然语言查询浏览模块。

Canvas MCP - College and High School Courses

Integrations

帆布 MCP

特征

用法

通过 Smithery 安装（首选）

手动安装（仅适用于本地实例）

手动配置

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