Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
Turn HTML or mobile-learning exports into SCORM 2004/1.2 packages, and validate any SCORM zip.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
SCORM_OUTPUT_DIRYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
claude mcp add scorm --env SCORM_OUTPUT_DIR=your-value -- npx -y scorm-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"scorm": {
"command": "npx",
"args": [
"-y",
"scorm-mcp-server"
],
"env": {
"SCORM_OUTPUT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"scorm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"scorm-mcp-server"
],
"env": {
"SCORM_OUTPUT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
SCORM_OUTPUT_DIR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account giacomomaria81, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (2.3.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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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