Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
제작자가 쓴 설명(영어 원문)
Turn HTML or mobile-learning exports into SCORM 2004/1.2 packages, and validate any SCORM zip.
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.
SCORM_OUTPUT_DIR필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
claude mcp add scorm --env SCORM_OUTPUT_DIR=your-value -- npx -y scorm-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"scorm": {
"command": "npx",
"args": [
"-y",
"scorm-mcp-server"
],
"env": {
"SCORM_OUTPUT_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": {
"scorm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"scorm-mcp-server"
],
"env": {
"SCORM_OUTPUT_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.
SCORM_OUTPUT_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 7일 점검
레지스트리 이름이 GitHub 계정 giacomomaria81 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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
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(2.3.0)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js, MCPB도 있어야 해요.
같은 카테고리에는: Browser Use, Chrome DevTools MCP, MCP Server Browser
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Turn self-contained HTML, a Claude Design `.dc` bundle or a mobile-learning platform content export (Excel activity templates + media) into a SCORM 2004 (or 1.2) package ready to import into any LMS — assets inlined for 100% offline, completion / progress / score tracking injected, ADL schemas bundled.
*The bundled local harness (scorm-test-harness.html) playing a package: progress 0 → 100%, completion, and the live LMS API-call log (0 errors). Illustration.*
An MCP server exposing three tools: `scorm_package` converts a finished HTML learning module into a .zip (PIF) any SCORM-compliant LMS can import, `scorm_validate` checks any existing SCORM zip (made by any tool) and explains exactly why an LMS would reject it, and `scorm_selftest` is a 1-second health check.
Principle: WRAP, don't rewrite. Your HTML is preserved; the tool only:
@import, fonts, JS, images, srcset, favicons) as data URIs → runs 100% offline.xmllint) · 6 security · 11 features · 13 auto-milestones · 21 V2 (bundle / .dc / score) · 10 output-dir · 9 tracking-signal · 32 hardening · 29 SCORM 1.2 · 12 CLI/batch · 16 web UI · 44 mobile-learning migration · 35 package validation · 33 question-level interactions — plus 6 bonus strict-runtime checks (scorm-again).Input (input_path or html) | Handling |
|---|---|
A single self-contained .html (e.g. Claude Design "standalone HTML" export) | assets inlined, runtime injected — v1 path |
| A folder or `.zip` (multi-file module) | whole tree preserved; entry HTML inlined; manifest lists every file |
A Claude Design `.dc` bundle (*.dc.html + support.js + _ds/) | auto-detected; CDN libs (React/Babel…) vendored offline via window.__resources (no source patch); runtime injected before support.js |
A mobile-learning platform content export (Excel activity templates + media/) | auto-detected; an interactive HTML course is rebuilt from the templates — info / transition / flash cards, quiz questions, media codes ([media:…], [H1:…], [quote:…], !!), scored quizzes reporting cmi.score — then packaged. Course title derived from the template names; with --batch, a whole catalogue migrates in one run |
Pass a .dc bundle as its folder or `.zip` (not the lone .dc.html, which is inert without its siblings).
Set `mastery_score` (0..1) to enable score-based success and add sequencing objectives to the manifest. Report the score from your content in one line — no SCORM knowledge required:
window.SCORM2004.score(8, 0, 10); // raw, min, max
window.dispatchEvent(new CustomEvent("scorm:score", { detail: { raw: 8, min: 0, max: 10 } })); window.dispatchEvent(new CustomEvent("scorm:progress", { detail: 0.5 })); // 0..1 window.dispatchEvent(new CustomEvent("scorm:complete"));
The runtime maps these to `cmi.score.*`, sets `success_status = passed/failed` against `mastery_score`, and reports completion/progress. (`dc:*` event names are accepted as aliases.)
Question-level tracking (v2.3) — report each answer as a cmi.interactions record, so the LMS gradebook shows *which* questions were missed, not just the total:
window.SCORM2004.interaction({
id: "quiz1-q3", type: "choice", description: "Which colour is the brand?", learnerResponse: "Blue", correctResponse: "Red", result: false, latencyMs: 12000, }); // or, without touching the API: window.dispatchEvent(new CustomEvent("scorm:interaction", { detail: { id: "q3", result: true } }));
Dialect-aware (2004 learner_response/timestamp vs 1.2 student_response/time, incorrect vs wrong) and best-effort by design: an LMS that refuses interaction writes gets a logged warning and the session carries on. Quizzes generated by the mobile-learning migration report their interactions automatically — one record per question, with the question text, the learner's answer, the expected answer and the latency.
SCORM 1.2 — pass scorm_version: "1.2" and you get a 1.2 manifest (validated against the bundled 1.2 XSDs, with adlcp:masteryscore when mastery_score is set). The injected runtime is *adaptive*: it speaks to whichever API the hosting LMS exposes (API_1484_11 or API), maps the data model (single lesson_status, 0-100 score, HH:MM:SS session time, 4096-char suspend data) and never downgrades a passed status.
Batch — batch: true treats input_path as a directory of courses (each sub-directory, .zip or .html = one course). One package per course, one consolidated batch-report.json, and a broken course never sinks the others.
CLI — no MCP client required:
npx -y scorm-mcp-server ui # local drag & drop web UI
npx -y scorm-mcp-server pack course.html --title "My course" npx -y scorm-mcp-server pack ./courses --batch --scorm-version 1.2 npx -y scorm-mcp-server validate pkg.zip # conformance-check an existing package npx -y scorm-mcp-server selftest # 1-second health check
Web UI — ui opens a localhost page: drop an .html or .zip, pick the SCORM edition and an optional pass mark, download the package. Runs entirely on your machine; nothing is uploaded anywhere.
Library — buildPackage() is a public API for pipelines and SaaS backends:
import { buildPackage } from "scorm-mcp-server";
const r = await buildPackage({ html, title: "My course", scormVersion: "1.2", masteryScore: 0.6 }); // r.zip (Buffer) · r.fileName · r.warnings · r.milestoneIds …
Diagnostic — the scorm_selftest MCP tool packages a constant built-in HTML and reports version, duration and output path: it separates "server broken" from "input problem" in one second.
"Why does my LMS reject this zip?" — scorm_validate answers it for any SCORM package, not only those produced here, and the input is never modified:
npx -y scorm-mcp-server validate course.zip # human-readable report
npx -y scorm-mcp-server validate course.zip --json # machine-readable
Checks: zip readability, imsmanifest.xml at the ROOT (detects the classic *"zipped the folder instead of its contents"* mistake and says how to fix it), well-formed manifest, SCORM edition detection (2004/1.2), launchable organization/item/resource chain, launch file and every present in the archive (case-only mismatches flagged — they work on Windows and fail on Linux LMS servers), and full XSD validation against the official ADL schemas — using the package's own XSDs first and falling back to the embedded copies, so packages that ship without schemas validate too. Exit code 0/1 for CI pipelines; also exposed as the scorm_validate MCP tool and the validatePackage() library API.
[https://scormpackager.vercel.app](https://scormpackager.vercel.app) — drop a course, pick the SCORM edition, download the package. Files are processed in memory and never stored, but they do travel to a server; for real work use the local options below, where nothing leaves your machine (and there is no 4 MB limit).
Download `scorm-mcp-server-x.y.z.mcpb` from the Releases, then in Claude Desktop → Settings → Extensions, drag-drop the .mcpb, pick an output folder, and enable it.
No install step: add this to your client's MCP config (~/Library/Application Support/Claude/claude_desktop_config.json for Claude Desktop):
{
"mcpServers": { "scorm": { "command": "npx", "args": ["-y", "scorm-mcp-server"], "env": { "SCORM_OUTPUT_DIR": "/ABSOLUTE/PATH/scorm-packages" } } } }
Registry name: **`io.github.giacomomaria81/scorm-mcp-server`** ([MCP registry](https://registry.modelcontextprotocol.io/v0/servers?search=scorm-mcp-server)).
git clone <this-repo> && cd scorm-mcp-server
npm install # dist/ is prebuilt; npm run build is optional
Then point the config at `node /ABSOLUTE/PATH/scorm-mcp-server/dist/index.js`.
Restart Claude. The scorm_package tool is now available.
In a conversation: build your module with Claude Design, then say "package this module as SCORM." Claude calls scorm_package and returns the path to the .zip.
You don't have to prepare anything: if your HTML declares no milestone, the packager auto-generates them from the document structure (sections → articles → headings, capped at 8, trigger view). Plain HTML gets meaningful progress out of the box. Disable with auto_milestones: false. Want success_status = passed on completion without touching the HTML? Pass success_on_completion: true.
Mark the meaningful steps directly in your HTML — explicit milestones always take precedence over auto-generation. The runtime computes progress_measure = milestones_reached / total, and sets completion_status = "completed" once all are reached.
| Attribute | Effect |
|---|---|
data-jalon="unique-id" | declares a milestone |
data-trigger="view" | reached when scrolled into view (default) |
data-trigger="click" | reached on click |
data-trigger="ended" | reached when a video/audio ends |
<section data-jalon="intro" data-trigger="view">…</section>
I read it …
Recommended: 4–8 milestones per micro-module. Resume is automatic (cmi.suspend_data + cmi.location); progress never regresses.
Programmatic milestones — window.SCORM2004.reach("quiz-passed") works even if the id has no data-jalon element: unknown ids are declared on the fly and count in the total. To register one *before* it's reached (accurate denominator), use window.SCORM2004.declare("quiz-passed") early. Both survive resume.
Success status (opt-in) — add data-scorm-success="on-completion" on any element (e.g. ) and the runtime also sets cmi.success_status="passed" when the modul
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