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Canvas API MCP

作者:JohannsenLum版本 1.1.0i★ –i在你的电脑上运行
注册名称io.github.JohannsenLum/canvas-api-mcp

安装

概览

作者提供的说明(英文原文)

MCP server exposing the Canvas LMS REST API (1,116 endpoints) for AI assistants

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:CANVAS_BASE_URL, CANVAS_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: CANVAS_BASE_URL, CANVAS_TOKEN, CANVAS_MAX_PAGES

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "canvas-api": {
      "command": "uvx",
      "args": [
        "canvas-api-mcp"
      ],
      "env": {
        "CANVAS_BASE_URL": "your-value",
        "CANVAS_TOKEN": "your-value",
        "CANVAS_MAX_PAGES": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add canvas-api --env CANVAS_BASE_URL=your-value --env CANVAS_TOKEN=your-value --env CANVAS_MAX_PAGES=your-value -- uvx canvas-api-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "canvas-api": {
      "command": "uvx",
      "args": [
        "canvas-api-mcp"
      ],
      "env": {
        "CANVAS_BASE_URL": "your-value",
        "CANVAS_TOKEN": "your-value",
        "CANVAS_MAX_PAGES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "canvas-api": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "canvas-api-mcp"
      ],
      "env": {
        "CANVAS_BASE_URL": "your-value",
        "CANVAS_TOKEN": "your-value",
        "CANVAS_MAX_PAGES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • CANVAS_BASE_URL 必填 env
    Base URL of your Canvas LMS instance, e.g. https://yourschool.instructure.com
  • CANVAS_TOKEN 机密 必填 env
    Canvas API access token (Canvas: Account > Settings > New Access Token)
  • CANVAS_MAX_PAGES env
    Optional cap on the number of pages fetched per paginated Canvas API call

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 JohannsenLum 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18875 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18875 个服务器的 19% 更新
  • 基础检查结果等于或优于此分类中其他 18875 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Canvas API MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:CANVAS_BASE_URL, CANVAS_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.0)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Vagaro MCP Server and API by Cotlet

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

作者:formulahendry起步阶段↓ 66/周★ 44014个月前更新

在你的电脑上运行

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

作者:desktop-commander正在增长★ 2114天前更新

在云端运行✓ desktopcommander.app

Vagaro MCP Server and API by Cotlet

Vagaro MCP server: book, list and cancel appointments, create customers, check availability.

作者:cotlet.dev起步阶段今天更新

在云端运行✓ cotlet.dev

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

canvas-api-mcp

Never miss an assignment deadline again.

Ask your AI what's due and it reads the answer straight from Canvas:

real deadlines, real submission status, no copying anything across.

An MCP server for Canvas LMS. 16 curated tools for everyday student work, plus a gateway that reaches every endpoint your Canvas instance exposes.

📖 Documentation: [mcp.johannsenlum.com/canvas-lms](https://mcp.johannsenlum.com/canvas-lms) · install guide · tool reference · skills · compliance

Personal-use software. Canvas's API Policy requires OAuth for applications used

by multiple people, and Canvas OAuth cannot be implemented safely by locally

installed software (no PKCE, and client_secret cannot be shipped in a package).

Use this with your own token on your own account. See Compliance.

What you can ask it

Real prompts, and which tool answers them.

You: What's due this week?

Claude: *(calls whats_due)*: You have 3 things due: Problem Set 4 (Thu,

CS3230), a discussion reply (Fri, IS4302), and the Milestone 2 report (Sun,

EE2211).

You: How am I doing in my databases course, and what's on the syllabus for

week 6?

Claude: *(calls my_grades, then get_syllabus, then

course_content for the week 6 module)*: You're at 87% overall. Week 6 covers

normalization and has a reading plus a lab file due Friday.

You: Summarize the PDF lecture notes for lecture 8 and pull up my submission

for the essay so I can see the feedback.

Claude: *(calls list_files + read_file for the PDF, then my_submission

for the essay)*: ...

You: Reply to the "Project teams" discussion and say I'm free after 3pm for

the group meeting.

Claude: *(calls post_discussion_reply ✏️)*: Posted to the thread.

You: Has Canvas ever given me quiz statistics broken down by question, across

the whole semester?

Claude: *(calls search_canvas_api to find the right endpoint, then

canvas_request to call it)*: ...

The last example is the point of the gateway tools: if an endpoint exists on your Canvas instance, search_canvas_api can find it and canvas_request can call it, even though only 16 tools are hand-curated.

Install

Prerequisites
  • Python 3.11+
  • A Canvas personal access token. Your institution must allow students to create them: check Canvas → Account → Settings → Approved Integrations for a "+ New access token" button. Full walkthrough with screenshots: mcp.johannsenlum.com/canvas-lms/install.

Note that the token expires. Since Instructure's October 2025 security update, accounts holding only student roles must set an expiry no more than 120 days out, and institutions often cap it lower (NUS allows 90). Write the date down: an expired token makes every tool return 401 at once, which looks like a broken install rather than a credential that simply ran out.

Running the server

canvas-api-mcp is published on PyPI. Run it with:

uvx canvas-api-mcp

Install from source (contributors / unreleased `main`). Not part of the normal install path above, only needed if you want the latest unreleased code instead of the published PyPI release:

uvx --from git+https://github.com/JohannsenLum/canvas-api-mcp canvas-api-mcp

Or run from a local clone:

git clone https://github.com/JohannsenLum/canvas-api-mcp

cd canvas-api-mcp uv sync

Quick install (one-click)

One-click deeplinks exist for Cursor, VS Code, and LM Studio only. No other client has a documented install-link format. These prefill the config below but still need CANVAS_BASE_URL and CANVAS_TOKEN filled in afterward.

All clients (manual config)

Your token stays on your machine, in your own config file. It is never transmitted anywhere except directly to your Canvas instance.

ClientDeeplink?
Claude Codeno
Claude Desktopno
Cursoryes, above
VS Codeyes, above
LM Studioyes, above
Zedno
Windsurfno (Windsurf only resolves servers in its own registry)

Claude Code : ~/.claude.json

{

"mcpServers": { "canvas": { "command": "uvx", "args": ["canvas-api-mcp"], "env": { "CANVAS_BASE_URL": "https://canvas.yourschool.edu", "CANVAS_TOKEN": "your-token-here" } } } }

Claude Desktop : claude_desktop_config.json

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

No one-click install exists for Claude Desktop (it installs .mcpb bundles, not deeplinks). Copy this JSON in via Settings → Developer → Edit Config:

{

"mcpServers": { "canvas": { "command": "uvx", "args": ["canvas-api-mcp"], "env": { "CANVAS_BASE_URL": "https://canvas.yourschool.edu", "CANVAS_TOKEN": "your-token-here" } } } }

</details>

Cursor : ~/.cursor/mcp.json

Fallback for the button above, or if you'd rather paste it directly:

{

"mcpServers": { "canvas": { "command": "uvx", "args": ["canvas-api-mcp"], "env": { "CANVAS_BASE_URL": "https://canvas.yourschool.edu", "CANVAS_TOKEN": "your-token-here" } } } }

</details>

VS Code : .vscode/mcp.json

Fallback for the button above, or if you'd rather paste it directly. Note VS Code uses a servers key, not mcpServers:

{

"servers": { "canvas": { "type": "stdio", "command": "uvx", "args": ["canvas-api-mcp"], "env": { "CANVAS_BASE_URL": "https://canvas.yourschool.edu", "CANVAS_TOKEN": "your-token-here" } } } }

</details>

LM Studio : mcp.json (Program → Install → Edit mcp.json)

Fallback for the button above, or if you'd rather paste it directly:

{

"mcpServers": { "canvas": { "command": "uvx", "args": ["canvas-api-mcp"], "env": { "CANVAS_BASE_URL": "https://canvas.yourschool.edu", "CANVAS_TOKEN": "your-token-here" } } } }

</details>

Zed : settings.json

No deeplink exists for Zed. Add this under context_servers in your Zed settings:

{

"context_servers": { "canvas": { "source": "custom", "command": "uvx", "args": ["canvas-api-mcp"], "env": { "CANVAS_BASE_URL": "https://canvas.yourschool.edu", "CANVAS_TOKEN": "your-token-here" } } } }

</details>

Windsurf : ~/.codeium/windsurf/mcp_config.json

No deeplink exists for Windsurf. It only resolves servers from its own registry, so this has to be pasted in manually via Windsurf Settings → MCP Servers → Edit raw config:

{

"mcpServers": { "canvas": { "command": "uvx", "args": ["canvas-api-mcp"], "env": { "CANVAS_BASE_URL": "https://canvas.yourschool.edu", "CANVAS_TOKEN": "your-token-here" } } } }

</details>

Tools

ToolWhat it does
whoamiIdentity and your role in each course
get_calendar_feed_urlYour private calendar .ics link (only when you ask for it)
my_coursesActive courses with code, term, role
whats_dueEverything due, soonest first
my_gradesCurrent score per course
list_assignmentsA course's assignments and submission state
get_assignmentOne assignment in full, with rubric
my_submissionYour submission, score, and feedback
submit_assignment ✏️Submit work
course_announcementsRecent announcements
course_contentModules and their contents
list_filesFiles in a course
read_fileExtract text from PDF/DOCX/PPTX/text
get_pageA Canvas wiki page by slug
get_syllabusA course's syllabus
read_discussionTopics, or one topic's replies
post_discussion_reply ✏️Post to a discussion
search_canvas_apiFind any endpoint by keyword (gateway)
canvas_request ✏️Execute any endpoint (gateway)

✏️ writes to Canvas. That's 3 write tools total: submit_assignment, post_discussion_reply, and canvas_request when called with a non-GET method (GET calls through canvas_request are read-only).

search_canvas_api + canvas_request reach all ~1,116 endpoints your instance exposes. What they may do is decided by Canvas from your token's permissions: a teacher token unlocks educator endpoints with no change to this server.

Prompts

week_ahead, study_pack, grade_check.

Resources

canvas://me, `c

只显示了开头部分;其余内容请在仓库中阅读

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