Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者による説明(英語の原文)
Turn HTML or mobile-learning exports into SCORM 2004/1.2 packages, and validate any SCORM zip.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
SCORM_OUTPUT_DIR必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
リンク先は作者自身のファイルです。私たちが置いたり再パッケージしたりしたものではありません。ファイルを開くと、Claude Desktopがインストールします。
ターミナルでこれを実行します
claude mcp add scorm --env SCORM_OUTPUT_DIR=your-value -- npx -y scorm-mcp-server動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"scorm": {
"command": "npx",
"args": [
"-y",
"scorm-mcp-server"
],
"env": {
"SCORM_OUTPUT_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"scorm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"scorm-mcp-server"
],
"env": {
"SCORM_OUTPUT_DIR": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
SCORM_OUTPUT_DIR envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント giacomomaria81 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.3.0)がレジストリに届いたのは2 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.js, MCPBも必要です。
同じカテゴリには:Browser Use, Chrome DevTools MCP, MCP Server Browser
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
冒頭だけを表示しています。続きはリポジトリで読めます