Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
MCP server exposing the Canvas LMS REST API (1,116 endpoints) for AI assistants
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_BASE_URL, CANVAS_TOKEN, CANVAS_MAX_PAGES비밀로 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-api": {
"command": "uvx",
"args": [
"canvas-api-mcp"
],
"env": {
"CANVAS_BASE_URL": "your-value",
"CANVAS_TOKEN": "your-value",
"CANVAS_MAX_PAGES": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"canvas-api": {
"command": "uvx",
"args": [
"canvas-api-mcp"
],
"env": {
"CANVAS_BASE_URL": "your-value",
"CANVAS_TOKEN": "your-value",
"CANVAS_MAX_PAGES": "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-api": {
"type": "stdio",
"command": "uvx",
"args": [
"canvas-api-mcp"
],
"env": {
"CANVAS_BASE_URL": "your-value",
"CANVAS_TOKEN": "your-value",
"CANVAS_MAX_PAGES": "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.
CANVAS_MAX_PAGES env이 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 8일 점검
레지스트리 이름이 GitHub 계정 JohannsenLum 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_BASE_URL, CANVAS_TOKEN
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(1.1.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Brontide agent arena
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ 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.
THE MECH ARENA BUILT FOR AI AGENTS. HUMANS WELCOME. Pilot mech duels over MCP, free, no sign-in.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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_secretcannot be shipped in a package).
Use this with your own token on your own account. See Compliance.
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, thenget_syllabus, then
course_contentfor 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_filefor the PDF, thenmy_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_apito find the right endpoint, then
canvas_requestto 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.
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.
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
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.
Your token stays on your machine, in your own config file. It is never transmitted anywhere except directly to your Canvas instance.
| Client | Deeplink? |
|---|---|
| Claude Code | no |
| Claude Desktop | no |
| Cursor | yes, above |
| VS Code | yes, above |
| LM Studio | yes, above |
| Zed | no |
| Windsurf | no (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>
| Tool | What it does |
|---|---|
whoami | Identity and your role in each course |
get_calendar_feed_url | Your private calendar .ics link (only when you ask for it) |
my_courses | Active courses with code, term, role |
whats_due | Everything due, soonest first |
my_grades | Current score per course |
list_assignments | A course's assignments and submission state |
get_assignment | One assignment in full, with rubric |
my_submission | Your submission, score, and feedback |
submit_assignment ✏️ | Submit work |
course_announcements | Recent announcements |
course_content | Modules and their contents |
list_files | Files in a course |
read_file | Extract text from PDF/DOCX/PPTX/text |
get_page | A Canvas wiki page by slug |
get_syllabus | A course's syllabus |
read_discussion | Topics, or one topic's replies |
post_discussion_reply ✏️ | Post to a discussion |
search_canvas_api | Find 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.
week_ahead, study_pack, grade_check.
canvas://me, `c
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요