Sports MCP Server
NBA, NFL, NHL and combined sports scores as agent tools.
제작자가 쓴 설명(영어 원문)
Canvas LMS (Instructure) for Claude — courses, grades, assignments, planner, files
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_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_DIR비밀로 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-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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}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-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"
}
}
}
}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_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 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 chrischall 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_PASSWORD, CANVAS_TOKEN, CANVAS_CLIENT_SECRET, CANVAS_REFRESH_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(2.2.3)은 오늘 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Sports MCP Server, Social Content MCP Server, Kizupi
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
NBA, NFL, NHL and combined sports scores as agent tools.
Steam games, Dev.to articles, events and podcasts as agent tools.
The math tutor that asks why, for grades 1 to 6, with free printable word-problem worksheets.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요