SFX Brew
Free game sound effects for AI agents: 45 Eastern and general SFX rendered locally to WAV or JS.
作者提供的说明(英文原文)
Canvas LMS (Instructure) for Claude — courses, grades, assignments, planner, files
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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。
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。
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。
CANVAS_USERNAME envCANVAS_CLIENT_ID envCANVAS_NAME envCANVAS_SESSION_CACHE envCANVAS_SESSION_FILE envCANVAS_OUTPUT_DIR envCANVAS_DISABLE_FETCHPROXY envFETCHPROXY_WS_PORT envFETCHPROXY_WS_HOST envFETCHPROXY_IDENTITY_DIR env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。
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
注册名称已通过 GitHub 账户 chrischall 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:CANVAS_BASE_URL, CANVAS_PASSWORD, CANVAS_TOKEN, CANVAS_CLIENT_SECRET, CANVAS_REFRESH_TOKEN
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)。
GitHub 仓库最后更新于–,最新版本(2.2.3)于前天进入注册中心。
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。
同一分类中有:SFX Brew, ReversePort, Liro
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
Free game sound effects for AI agents: 45 Eastern and general SFX rendered locally to WAV or JS.
Reverse engineer and port apps and games: Godot, Unity IL2CPP, .NET, binaries, with parity checks.
React + Tailwind UI components and recipes your AI coding tool can search and install.
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。
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.
18 tools across profile, observees, courses, assignments, submissions, grades, calendar, planner, announcements, conversations, discussions, and files.
| Domain | Tools |
|---|---|
| Profile | canvas_get_profile |
| Observees | canvas_list_observees |
| Courses | canvas_list_courses, canvas_get_course |
| Assignments | canvas_list_assignments, canvas_list_missing_submissions |
| Submissions | canvas_get_submission, canvas_list_recent_submissions (default 14d window) |
| Grades | canvas_list_enrollments |
| Calendar | canvas_list_calendar_events, canvas_list_upcoming_events |
| Planner | canvas_list_planner_items |
| Announcements | canvas_list_announcements |
| Conversations | canvas_list_conversations, canvas_get_conversation |
| Discussions | canvas_list_discussion_topics |
| Files | canvas_list_course_files, canvas_download_file |
Tools that the harness will gate as write/IO operations: canvas_download_file.
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.
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.
Set CANVAS_BASE_URL plus one of four auth modes. canvas-parent-mcp tries them in priority order:
canvas_session + pseudonym_credentials cookies from your signed-in Canvas tab via the ContextMint Bridge browser extensionIf none succeed, you get an error that names every escape hatch.
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.sha256file 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).
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.
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.
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).
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:
sso.canvaslms.com like https://sso.canvaslms.com/canvas/login?domain=...&code=.... 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.
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}.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.destinationPath is ignored and the note says so.Unofficial — not affiliated with Instructure. AI-maintained.
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
只显示了开头部分;其余内容请在仓库中阅读