Canvas MCP

Canvas MCP

Enables interaction with Canvas LMS to access courses, modules, files, pages, assignments, submissions, announcements, upcoming deadlines, and syllabus.

Category
访问服务器

README

Canvas MCP

MCP server that exposes Canvas LMS as tools — courses, modules, files, pages, assignments, submissions/grades, announcements, upcoming deadlines, and syllabus.

Designed to be consumed by Ada (chat tool loop / edge functions) and any other MCP client (Claude Desktop, Cursor, etc.).

Setup

cd mcps/canvas
npm install
npm run build

Create .env (or pass through your MCP client config):

CANVAS_BASE_URL=https://canvas.asu.edu/api/v1
CANVAS_TOKEN=your_canvas_personal_access_token

Generate the token in Canvas: Account → Settings → New Access Token.

Run

Stdio transport (default for MCP clients):

CANVAS_BASE_URL=... CANVAS_TOKEN=... node dist/index.js

Tools

Tool Purpose
list_courses Active enrollments with term + dates
get_course Single course incl. syllabus body
list_modules Modules with items inlined
list_module_items Items in one module
get_file_metadata File info + download URL
get_file_text Download file body as UTF-8 text (truncated)
list_pages / get_page Wiki pages
list_assignments / get_assignment Assignments by due date
list_my_submissions Current student's grades + late/missing
list_announcements Announcements across courses
list_upcoming Upcoming events for the user
get_syllabus Syllabus HTML

Claude Desktop config

{
  "mcpServers": {
    "canvas": {
      "command": "node",
      "args": ["/absolute/path/to/ada/mcps/canvas/dist/index.js"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.asu.edu/api/v1",
        "CANVAS_TOKEN": "..."
      }
    }
  }
}

Cloudflare Workers (HTTP transport)

src/worker.ts exposes the same toolset over HTTP for hosting on Cloudflare Workers. Deploy with:

npx wrangler deploy

Set the secrets once via wrangler secret put:

echo "https://canvas.asu.edu/api/v1" | npx wrangler secret put CANVAS_BASE_URL
echo "your_canvas_token"            | npx wrangler secret put CANVAS_TOKEN

The Worker accepts JSON-RPC tools/list and tools/call POSTs.

Multi-tenant headers (override env per request — Ada uses these):

Authorization:    Bearer <user's canvas PAT>
X-Canvas-Base-Url https://canvas.<institution>.edu/api/v1
X-Ada-Service-Key <ADA_SERVICE_KEY>          # required when env.ADA_SERVICE_KEY is set

When no headers are present, the worker falls back to the CANVAS_BASE_URL / CANVAS_TOKEN secrets (single-tenant mode). Set ADA_SERVICE_KEY to gate header-based requests behind a shared secret:

echo "$(openssl rand -hex 32)" | npx wrangler secret put ADA_SERVICE_KEY

Notes

  • Canvas pagination is followed automatically via the Link header up to per-call caps.
  • get_file_text decodes as UTF-8; binary formats (PDF, DOCX) need upstream extraction.
  • Single-tenant by env var. For multi-user (Ada), spawn one process per user or swap stdio for an HTTP transport that accepts a per-request token.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选