Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Self-hosted Canvas LMS for every device: 237 student tools over HTTP with OAuth and phone alerts.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
CANVAS_API_TOKEN, CANVAS_BASE_URL비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"canvas-lms": {
"command": "npx",
"args": [
"-y",
"canvas-lms-mcp-remote",
"--stdio"
],
"env": {
"CANVAS_API_TOKEN": "your-value",
"CANVAS_BASE_URL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add canvas-lms --env CANVAS_API_TOKEN=your-value --env CANVAS_BASE_URL=your-value -- npx -y canvas-lms-mcp-remote --stdio실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"canvas-lms": {
"command": "npx",
"args": [
"-y",
"canvas-lms-mcp-remote",
"--stdio"
],
"env": {
"CANVAS_API_TOKEN": "your-value",
"CANVAS_BASE_URL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"canvas-lms": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"canvas-lms-mcp-remote",
"--stdio"
],
"env": {
"CANVAS_API_TOKEN": "your-value",
"CANVAS_BASE_URL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 Fireiscoolsolo 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: CANVAS_API_TOKEN, CANVAS_BASE_URL
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.3.1)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, SuperCollider
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
[!TIP]
Want it to run locally, on just your own computer? Go to the [Local Edition →](https://github.com/Fireiscoolsolo/canvas-lms-mcp-local) (website). It has the same 237 tools, with no tunnel, no password and a one-command setup.
Use Canvas from your AI assistant on any device: web, desktop and mobile. Always on, password-protected, with automatic failover across several computers.
237 tools · OAuth 2.1 · Status page · Phone alerts · ngrok or Cloudflare tunnel · Multi-computer failover
Website · Quick start · Multi-device guide · Configuration · Tools · Phone alerts · Security · Changelog
[!TIP]
On Windows? Skip the terminal. The free [Canvas MCP Installer Assistant](https://fireiscoolsolo.github.io/canvas-lms-mcp-local/app/) sets this up for Claude or the ChatGPT desktop app with pictures and a check after every step, or does every step for you. [Download for Windows](https://fireiscoolsolo.github.io/canvas-lms-mcp-local/download/)
| Remote (this repo) | Local | |
|---|---|---|
| Works with | Any MCP client that supports remote servers, on any device | Claude Desktop, the ChatGPT desktop app and other MCP clients on this computer |
| When it runs | Always on, in the background | Only while your AI app is open |
| You need | Node.js (or Docker), a Canvas token, an ngrok or Cloudflare account and a password | Node.js and a Canvas token |
| Internet exposure | Public HTTPS address, password-protected | None |
| Multiple computers | Automatic failover (guide) | Install it separately on each one |
daily_briefing, get_week_ahead, semester_snapshot, planner notes, checking items off your To Do liststudy_plan spreads study time before each deadline; schedule_study_plan puts it on your Canvas calendarfinal_grade_scenarios, what_if_grade, grade_impact_ranking, calculate_gpa, full weighted breakdownsassignment_brief in one call; submit, post and message after a previewread_course_file; downloads come back as links your phone can open Your AI app (web / desktop / mobile / CLI)
│ HTTPS + OAuth ▼ your-domain.ngrok-free.dev ──► supervisor.js ──► index.js (127.0.0.1:3939/mcp) ──► Canvas API (or a Cloudflare hostname) (keeps it alive, (237 tools, OAuth, status page, failover) phone alerts)
[!NOTE]
Rather click than type? Download the [Canvas MCP Installer Assistant for Windows](https://fireiscoolsolo.github.io/canvas-lms-mcp-local/download/). It walks you through these steps with pictures and checks each one as you go, for both the Remote and Local editions. See screenshots.
Windows may show "Windows protected your PC" because the app isn't code-signed yet. Click More info, then Run anyway.
You need: Node.js 18+ (22+ to read PDFs), a Canvas account and a free ngrok account (or a Cloudflare account with your own domain). Prefer containers? See Docker.
With npm (easiest):
npm install -g canvas-lms-mcp-remote
mkdir canvas-mcp cd canvas-mcp canvas-lms-mcp-remote init
That folder is your **settings folder**. It holds your `.env`, logins and logs, so run every later step from it.
Or from source: git clone https://github.com/Fireiscoolsolo/canvas-lms-mcp-server.git, then run npm install inside the folder. No git? Download the zip from the latest release instead. The repo folder is then your settings folder.
All commands
| Command | What it does | ||
|---|---|---|---|
canvas-lms-mcp-remote init | Create a .env template in the current folder | ||
canvas-lms-mcp-remote | Start the supervisor: server, tunnel and failover | ||
canvas-lms-mcp-remote serve | Start only the HTTP server on 127.0.0.1 (no tunnel) | ||
canvas-lms-mcp-remote install-service | Start it automatically when you sign in (Windows, Linux or macOS) | ||
canvas-lms-mcp-remote uninstall-service | Stop starting it automatically | ||
canvas-lms-mcp-remote stop / restart | Stop the running supervisor, or stop and start it again | ||
canvas-lms-mcp-remote status | Is it running, which computer is serving, who is signed in | ||
canvas-lms-mcp-remote logs [-f] | Show the end of supervisor.log (-f keeps following it) | ||
canvas-lms-mcp-remote doctor | Check settings, token, tunnel and startup service, and say how to fix problems | ||
canvas-lms-mcp-remote test-alert | Send a test phone alert | ||
| `canvas-lms-mcp-remote sessions [sign-out \ | sign-out-all \ | tidy]` | List or sign out connected apps |
canvas-lms-mcp-remote rotate-password | Make a new password and sign every app out | ||
canvas-lms-mcp-remote totp-setup / totp-off | Turn two-factor codes on or off | ||
canvas-lms-mcp-remote cluster | List the computers in your group | ||
canvas-lms-mcp-remote takeover | Make this computer the one that serves | ||
canvas-lms-mcp-remote uninstall | Stop it, remove the startup service and say how to remove the package | ||
canvas-lms-mcp-remote --stdio | Serve over stdin/stdout, for directories that inspect servers |
From source, use node cli.js instead.
In Canvas, go to Account → Settings → Approved Integrations → + New Access Token. Canvas only shows the token once, so copy it right away.
ngrok (default):
winget install --id Ngrok.Ngrok -e
ngrok update # the winget version is often too old (ERR_NGROK_121) ngrok config add-authtoken
Then claim your free **static domain** in the [ngrok dashboard](https://dashboard.ngrok.com), e.g. `your-name.ngrok-free.dev`.
Or Cloudflare Tunnel (no "Visit Site" page, your own domain)
cloudflared (downloads; on Windows winget install --id Cloudflare.cloudflared).canvas.yourdomain.com, pointing at http://localhost:3939..env, set CANVAS_MCP_TUNNEL=cloudflared, CANVAS_MCP_CLOUDFLARED_TOKEN= and CANVAS_MCP_PUBLIC_URL=https://canvas.yourdomain.com.Using your own reverse proxy or Tailscale Funnel instead? Set CANVAS_MCP_TUNNEL=none and point it at port 3939.
.envFill in the .env that init created. From source, copy .env.example to .env first. Generate the password and secret with:
node -e "console.log(require('crypto').randomBytes(32).toString('base64url'))"
canvas-lms-mcp-remote doctor
canvas-lms-mcp-remote
`doctor` checks your settings, token and tunnel first. Then wait until you see `active and serving at https://…`, and press Ctrl+C.
canvas-lms-mcp-remote install-service
On Windows this creates the CanvasSupervisor scheduled task, on Linux a systemd user service, and on macOS a launch agent. All of them restart it if it crashes and write supervisor.log in your settings folder, rotating it at 5 MB.
Setting up the Windows task by hand
In PowerShell, from your settings folder (the repo folder, if you installed from source):
$dir = (Get-Location).Path
$action = New-ScheduledTaskAction -Execute "$dir\run-supervisor.cmd" -WorkingDirectory $dir $trigger = New-ScheduledTaskTrigger -AtLogOn -User "$env:USERDOMAIN\$env:USERNAME" $settings = New-ScheduledTaskSettingsSet -RestartCount 999 -RestartInterval (New-TimeSpan -Minutes 1) -ExecutionTimeLimit ([TimeSpan]::Zero) -AllowStartIfOnBatteries -DontStopIfGoingOnBatteries -MultipleInstances IgnoreNew Register-ScheduledTask -TaskName CanvasSupervisor -Action $action -Trigger $trigger -Settings $settings -Force Start-ScheduledTask -TaskName C
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요