原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Canvas Parent MCP

作者:chrischall版本 2.2.3i★ –i在你的电脑上运行
注册名称io.github.chrischall/canvas-parent-mcp

安装

概览

作者提供的说明(英文原文)

Canvas LMS (Instructure) for Claude — courses, grades, assignments, planner, files

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: 游戏、体育、美食与学习
  • 你需要填写:CANVAS_BASE_URL, CANVAS_PASSWORD, CANVAS_TOKEN, CANVAS_CLIENT_SECRET, CANVAS_REFRESH_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_USERNAME, CANVAS_PASSWORD, CANVAS_TOKEN, CANVAS_CLIENT_ID, CANVAS_CLIENT_SECRET, CANVAS_REFRESH_TOKEN, CANVAS_NAME, CANVAS_SESSION_CACHE, CANVAS_SESSION_FILE, CANVAS_OUTPUT_DIR, CANVAS_DISABLE_FETCHPROXY, FETCHPROXY_WS_PORT, FETCHPROXY_WS_HOST, FETCHPROXY_IDENTITY_DIR

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

  • npm已安装 Node.js(用于 npx 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-parent": {
      "command": "npx",
      "args": [
        "-y",
        "canvas-parent-mcp"
      ],
      "env": {
        "CANVAS_BASE_URL": "your-value",
        "CANVAS_USERNAME": "your-value",
        "CANVAS_PASSWORD": "your-value",
        "CANVAS_TOKEN": "your-value",
        "CANVAS_CLIENT_ID": "your-value",
        "CANVAS_CLIENT_SECRET": "your-value",
        "CANVAS_REFRESH_TOKEN": "your-value",
        "CANVAS_NAME": "your-value",
        "CANVAS_SESSION_CACHE": "your-value",
        "CANVAS_SESSION_FILE": "your-value",
        "CANVAS_OUTPUT_DIR": "your-value",
        "CANVAS_DISABLE_FETCHPROXY": "your-value",
        "FETCHPROXY_WS_PORT": "your-value",
        "FETCHPROXY_WS_HOST": "your-value",
        "FETCHPROXY_IDENTITY_DIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add canvas-parent --env CANVAS_BASE_URL=your-value --env CANVAS_USERNAME=your-value --env CANVAS_PASSWORD=your-value --env CANVAS_TOKEN=your-value --env CANVAS_CLIENT_ID=your-value --env CANVAS_CLIENT_SECRET=your-value --env CANVAS_REFRESH_TOKEN=your-value --env CANVAS_NAME=your-value --env CANVAS_SESSION_CACHE=your-value --env CANVAS_SESSION_FILE=your-value --env CANVAS_OUTPUT_DIR=your-value --env CANVAS_DISABLE_FETCHPROXY=your-value --env FETCHPROXY_WS_PORT=your-value --env FETCHPROXY_WS_HOST=your-value --env FETCHPROXY_IDENTITY_DIR=your-value -- npx -y canvas-parent-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-parent": {
      "command": "npx",
      "args": [
        "-y",
        "canvas-parent-mcp"
      ],
      "env": {
        "CANVAS_BASE_URL": "your-value",
        "CANVAS_USERNAME": "your-value",
        "CANVAS_PASSWORD": "your-value",
        "CANVAS_TOKEN": "your-value",
        "CANVAS_CLIENT_ID": "your-value",
        "CANVAS_CLIENT_SECRET": "your-value",
        "CANVAS_REFRESH_TOKEN": "your-value",
        "CANVAS_NAME": "your-value",
        "CANVAS_SESSION_CACHE": "your-value",
        "CANVAS_SESSION_FILE": "your-value",
        "CANVAS_OUTPUT_DIR": "your-value",
        "CANVAS_DISABLE_FETCHPROXY": "your-value",
        "FETCHPROXY_WS_PORT": "your-value",
        "FETCHPROXY_WS_HOST": "your-value",
        "FETCHPROXY_IDENTITY_DIR": "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-parent": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "canvas-parent-mcp"
      ],
      "env": {
        "CANVAS_BASE_URL": "your-value",
        "CANVAS_USERNAME": "your-value",
        "CANVAS_PASSWORD": "your-value",
        "CANVAS_TOKEN": "your-value",
        "CANVAS_CLIENT_ID": "your-value",
        "CANVAS_CLIENT_SECRET": "your-value",
        "CANVAS_REFRESH_TOKEN": "your-value",
        "CANVAS_NAME": "your-value",
        "CANVAS_SESSION_CACHE": "your-value",
        "CANVAS_SESSION_FILE": "your-value",
        "CANVAS_OUTPUT_DIR": "your-value",
        "CANVAS_DISABLE_FETCHPROXY": "your-value",
        "FETCHPROXY_WS_PORT": "your-value",
        "FETCHPROXY_WS_HOST": "your-value",
        "FETCHPROXY_IDENTITY_DIR": "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
    Canvas instance base URL, e.g. https://cms.instructure.com
  • CANVAS_USERNAME env
    Canvas login username/email (recommended) — pair with CANVAS_PASSWORD for auto-login. No SSO/2FA.
  • CANVAS_PASSWORD 机密 env
    Canvas password (recommended) — required iff CANVAS_USERNAME is set
  • CANVAS_TOKEN 机密 env
    Canvas personal access token (advanced) — most schools have disabled token creation
  • CANVAS_CLIENT_ID env
    Canvas OAuth client ID (advanced — for SSO accounts that can't use username/password)
  • CANVAS_CLIENT_SECRET 机密 env
    Canvas OAuth client secret (advanced)
  • CANVAS_REFRESH_TOKEN 机密 env
    Canvas OAuth refresh token (advanced) — bootstrap via canvas-parent-mcp-qr-login
  • CANVAS_NAME env
    Friendly name for the Canvas instance (defaults to the host portion of the base URL)
  • CANVAS_SESSION_CACHE env
    Set to false to disable the on-disk session cache and re-authenticate on every process start. Defaults to enabled.
  • CANVAS_SESSION_FILE env
    Absolute path for the session cache file. Defaults to $MCP_DATA_DIR/.canvas-parent-mcp/session.json.
  • CANVAS_OUTPUT_DIR env
    Directory canvas_download_file may write into (default ~/Downloads). A relative destinationPath is resolved against it.
  • CANVAS_DISABLE_FETCHPROXY env
    Set to 1 to turn off the browser (fetchproxy) fallback, so missing credentials are a hard error instead.
  • FETCHPROXY_WS_PORT env
    Localhost port of the fetchproxy concentrator the ContextMint Bridge extension connects to (default 37149). Every MCP on one machine shares it, so move it for all of them or not at all.
  • FETCHPROXY_WS_HOST env
    Bind interface for the fetchproxy concentrator, a literal IP only (default 127.0.0.1). Keep on loopback; it exists for hosted deployments that run each MCP in its own network namespace.
  • FETCHPROXY_IDENTITY_DIR env
    Absolute path where the fetchproxy long-term identity keypair is stored (default ~/.fetchproxy/identity/).

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 chrischall 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“游戏、体育、美食与学习”中的其他服务器比较i

  • 星标数多于此分类中其他 1319 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1319 个服务器的 92% 更新
  • 基础检查结果等于或优于此分类中其他 1319 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 Parent 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_PASSWORD, CANVAS_TOKEN, CANVAS_CLIENT_SECRET, CANVAS_REFRESH_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(2.2.3)于前天进入注册中心。

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 Node.js。

有什么可以替代它?

同一分类中有:SFX Brew, ReversePort, Liro

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

SFX Brew

Free game sound effects for AI agents: 45 Eastern and general SFX rendered locally to WAV or JS.

作者:2365836149-sketch非常新今天更新

在你的电脑上运行✓ sfxbrew.com

ReversePort

Reverse engineer and port apps and games: Godot, Unity IL2CPP, .NET, binaries, with parity checks.

作者:laaielichter起步阶段↓ 1687/周今天更新

在你的电脑上运行

Liro

React + Tailwind UI components and recipes your AI coding tool can search and install.

作者:liro.dev起步阶段今天更新

在云端运行✓ liro.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-parent-mcp

MCP server for Canvas LMS (Instructure), scoped for parent observers and student self-access. Targets https://cms.instructure.com by default but works against any Canvas instance.

Mirrors the read-only parent-portal scope of sibling infinitecampus-mcp. Users interact via the canvas_* tool prefix.

Tools

18 tools across profile, observees, courses, assignments, submissions, grades, calendar, planner, announcements, conversations, discussions, and files.

DomainTools
Profilecanvas_get_profile
Observeescanvas_list_observees
Coursescanvas_list_courses, canvas_get_course
Assignmentscanvas_list_assignments, canvas_list_missing_submissions
Submissionscanvas_get_submission, canvas_list_recent_submissions (default 14d window)
Gradescanvas_list_enrollments
Calendarcanvas_list_calendar_events, canvas_list_upcoming_events
Plannercanvas_list_planner_items
Announcementscanvas_list_announcements
Conversationscanvas_list_conversations, canvas_get_conversation
Discussionscanvas_list_discussion_topics
Filescanvas_list_course_files, canvas_download_file

Tools that the harness will gate as write/IO operations: canvas_download_file.

Planner: child names and a brief view

canvas_list_planner_items takes a child by name. At start the server lists your observees once (bounded to 5 s) and publishes their display names as the observeeId enum; the tool accepts either a name (any case) or a Canvas user id (self, a numeric id, or a sis_user_id:-style reference — including a child linked after the server started), and an unknown name is refused with the list of known ones. If the listing fails or you observe nobody, observeeId is published as a plain string and ids pass through as before. Two children with the same display name are listed as Name (id).

view: "brief" returns one line per planner item, at most 120 characters (cut as a whole, title first): title — — . Items with nothing to submit (planner notes, pages, events) carry their kind as the status (planner note, wiki page, …). Titles are written by teachers, so the lines come back inside the untrusted-data envelope, {"untrusted_content":true,"note":"…","data":["…"]}; an empty planner is data: ["-- none"], and a title that itself starts with -- or \ is escaped with one leading \ so it never reads as a note. The default (view: "full") is Canvas's payload, unchanged.

Context-group hints

Every tool except canvas_healthcheck carries a _meta.mint hint for hosts that group tools by context (mcp-host's context groups): domain: "school" plus an intent — whats-due for the planner and missing submissions, whats-new for announcements, whats-on for the calendar tools, lookup for the other reads, other for the download. The planner (whats-due) and announcements (whats-new) are marked canonical; the planner also names its subject argument (observeeId) and range (startDate/endDate). Hosts that do not read _meta see nothing different.

canvas_download_file only fetches /files/… URLs on your CANVAS_BASE_URL host (https), so your Canvas credential is never sent anywhere else, and it only writes inside a download directory: CANVAS_OUTPUT_DIR if set, otherwise ~/Downloads. A relative destinationPath is resolved against that directory. It never writes through a symlink at the destination, and new files are created owner-only (0600).

On a hosted deployment (mcp-host) the server's disk is not reachable from your session, so canvas_download_file writes nothing to disk: it reads the file (up to 100 MiB) and returns a signed download link that expires after an hour. An image under 10 MiB is shown inline instead. destinationPath is ignored there. A hosted server without a blob store returns files up to 10 MiB inline and refuses larger ones. On a local install, destinationPath is now optional; leave it out and the file is saved under its own name in the download directory, never overwriting an existing file.

Configuration

Set CANVAS_BASE_URL plus one of four auth modes. canvas-parent-mcp tries them in priority order:

  1. `CANVAS_TOKEN` → personal access token
  2. `CANVAS_CLIENT_ID` + `CANVAS_CLIENT_SECRET` + `CANVAS_REFRESH_TOKEN` → OAuth
  3. `CANVAS_USERNAME` + `CANVAS_PASSWORD` → session-scrape (direct Canvas accounts only)
  4. fetchproxy fallback → no env vars needed; reads canvas_session + pseudonym_credentials cookies from your signed-in Canvas tab via the ContextMint Bridge browser extension

If none succeed, you get an error that names every escape hatch.

Mode A — fetchproxy fallback (recommended, zero config)
CANVAS_BASE_URL=https://cms.instructure.com

Install the ContextMint Bridge browser extension from its releases page (Chrome: download the chrome zip, unzip it, and load it unpacked at chrome://extensions with Developer mode on — there is no Chrome Web Store listing yet; Safari: not available yet — it will ship inside the ContextMint app, which has no public download yet, so use Chrome for now), sign into your Canvas instance, and the MCP reads your session cookies from the browser on the first request and again whenever Canvas answers 401 (the session expired). In between, Canvas API calls go directly from Node — the extension is not in the request hot path, but it must stay reachable (browser running, extension installed) for the MCP to renew the session. Works with any auth flow (SSO/SAML/2FA included) because Canvas itself handled the sign-in.

Where the extension comes from. ContextMint Bridge is the fetchproxy browser extension under its new name, from the same maintainer — fetchproxy's own README (Extension) points to it. Its source is public at nullnet-app/contextmint-bridge: build it yourself (npm run build, per its README), or check a release zip against the .sha256 file published beside it:

`bash

shasum -a 256 -c contextmint-bridge-chrome- .zip.sha256

`

Multiple districts? Declared domain instructure.com matches every *.instructure.com host, so you only pair the extension once. The MCP uses whichever district you set in CANVAS_BASE_URL.

Set CANVAS_DISABLE_FETCHPROXY=1 to opt out (missing creds become a hard error — useful in headless CI).

Mode B — username/password (legacy session-scrape)
CANVAS_BASE_URL=https://cms.instructure.com

CANVAS_USERNAME=me@example.com CANVAS_PASSWORD=your-canvas-password CANVAS_NAME=cms # optional, defaults to host portion of base URL

Direct Canvas accounts only — won't work with SAML/Google/Microsoft SSO or 2FA. Brittle (breaks on every Canvas login-page restyling). Prefer fetchproxy if your tab is already signed in. Treat .env like a password file.

Advanced alternatives

Personal access token — simplest if your admin allows it

CANVAS_BASE_URL=https://cms.instructure.com

CANVAS_TOKEN=your-personal-access-token

Generate via Canvas → Account → Settings → "+ New Access Token". Most institutions have disabled this for non-admins.

OAuth via mobile QR code — bootstrapped from the mobile-app login flow

CANVAS_BASE_URL=https://cms.instructure.com

CANVAS_CLIENT_ID=... CANVAS_CLIENT_SECRET=... CANVAS_REFRESH_TOKEN=...

If your account uses SSO and you can't use fetchproxy (e.g. headless server), mint OAuth credentials by reusing the Canvas mobile-app QR-login flow — see Bootstrapping OAuth via the mobile QR code below.

Precedence when multiple are set: CANVAS_TOKEN > username/password > OAuth > fetchproxy.

See .env.example.

Session cache

In username/password and OAuth modes the signed-in session is cached between runs, so a restart does not log in (or spend a refresh-token exchange) again. The cache file — $MCP_DATA_DIR/.canvas-parent-mcp/session.json by default, or CANVAS_SESSION_FILE — holds the live canvas_session + pseudonym_credentials cookies or the OAuth access token in plaintext. It is created owner-only (0600, in a 0700 directory), and only the credential binding is stored as a salted digest; your username, password and refresh token are never written to it. Token and fetchproxy modes never write the cache.

Backup and sync tools that run as you can still copy that file. On a shared or backed-up machine, set CANVAS_SESSION_CACHE=false to keep the session in memory only (each start then re-authenticates).

Bootstrapping OAuth via the mobile QR code

If your Canvas admin has disabled personal-access-token creation (some institutions restrict tokens to "the mobile app only") AND your account uses SSO so username/password can't auth, you can mint OAuth credentials by going through the same QR-login flow that the official Canvas mobile apps use:

  1. In Canvas web, open Account → QR for Mobile Login — Canvas shows a QR that's valid for 10 minutes.
  2. Decode the QR with any QR reader. The result is a URL on sso.canvaslms.com like https://sso.canvaslms.com/canvas/login?domain=...&code=....
  3. Run the bundled helper:
   npx canvas-parent-mcp-qr-login "<decoded-qr-url>" >> .env

It hits Canvas's public mobile_verify.json endpoint to fetch the mobile client_id/client_secret, exchanges the QR's one-time code for an access+refresh token pair, and prints CANVAS_BASE_URL / CANVAS_CLIENT_ID / CANVAS_CLIENT_SECRET / CANVAS_REFRESH_TOKEN to stdout. The refresh token is sensitive — treat it like a password.

This reuses the same SSO + OAuth endpoints the official Canvas Student/Parent apps use; from Canvas's perspective the resulting session looks like a mobile-app session. Use it only against accounts you legitimately control.

Upgrading

next release

canvas_download_file now works on hosted deployments:

  • destinationPath is optional (it was required). Local calls that pass it behave exactly as before and return the same {path, bytes, contentType}.
  • Calls without destinationPath, and every call on a hosted server, return a delivery result instead: {via, fileName, mimeType, url?, expiresAt?, path?, bytes, contentType, note?}. via is image (inline image block), resource (inline bytes), link (signed url valid until expiresAt) or disk (path). An inline image or resource is returned as a content block before that JSON.
  • On a hosted server destinationPath is ignored and the note says so.

Status

Unofficial — not affiliated with Instructure. AI-maintained.

Acknowledgement of Terms

By using this MCP server, you acknowledge and agree to the following:

1. This server accesses your own Canvas account via the official Canvas REST API. Auth happens via your own personal access token, issued by your institution. It does not — and cannot — access anyone else's enrollments, grades, or messages.

2. [Instructure's Canvas API Policy](https://www.instructure.com/policies/canvas-api-policy) governs your use of this server, in addition to your institution's own acceptable-use policy. The clauses most relevant her

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