
edumints SCORM MCP
io.github.kemalyy由 GitHub 账号 kemalyy 发布v1.9.0更新于 Oct 24, 2026
Compiles structured specs into SCORM 1.2/2004 e-learning packages. 47 tools, quality gate, no LLM.
概览
一个托管式 MCP 服务器,把结构化课程规格编译成自包含的 SCORM 1.2/2004 电子学习包,供助手以 zip 形式交付。
- 可以做什么
- 用一份规格一次性构建完整课程,或创建项目后逐步添加、修改和调整屏幕,支持 31 种屏幕类型,包括测验、分支、游戏和自适应练习。设置主题、跟踪规则和版式构图,导入媒体素材或合成语音。校验、检查并预览课程,然后打包为可下载的 SCORM zip。将测验屏幕导出为 QTI 2.1,并列出或应用构图模式。
- 适用场景
- 当你希望由 AI 助手编写电子学习内容,并交付可在 Moodle、SCORM Cloud 等 LMS 中运行、符合标准的 SCORM 包,而不想使用桌面制作工具或本地环境时使用。
- 运行要求
- 通过 streamable HTTP 访问的远程端点;需要 OAuth 登录或从提供方门户获取 API 密钥。也可用 Docker 或本地 Python 自行部署,本地运行不需要密钥;视频功能另需 Node 22+ 和 ffmpeg。
安装
在 SourceWeft 中
- 打开 控制台中的 edumints SCORM MCP,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.kemalyy%2Fedumints-scorm-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"edumints-scorm": {
"type": "http",
"url": "https://scorm.edumints.com/mcp"
}
}
}README
edumints SCORM MCP
[License: MIT] [Release] [Python 3.11+] [MCP]
An MCP server that compiles interactive, standards-conformant e-learning courses. You (or an AI client like Claude) are the author; this server is the compiler. Describe a course as a structured spec — the server validates it, renders it, and packages it as a self-contained SCORM zip that runs in any LMS (Moodle, SCORM Cloud, Rustici Engine, …). Deterministic — no LLM runs on the server.
🌐 Languages: English · Türkçe · Español · Русский · 简体中文 · Azərbaycanca · Қазақша · Кыргызча
Live demos
Four complete courses — four audiences, four visual identities — built entirely with this server and served from a live deploy. Click any screenshot to launch.
Each demo features a narrative thread, realistic artifact-mockup SVGs, flag-hunting simulations, before/after comparisons, timelines, a case game, and adaptive feedback — with question-level SCORM reporting underneath.
Why this exists
E-learning is usually hand-crafted in heavy desktop authoring tools. This project treats course production as infrastructure for AI agents instead:
- Zero-install authoring. Connect any MCP client to the hosted endpoint and start building — no toolchain, no local setup. The client describes the course (objectives, screens, quizzes, branching, media) over the Model Context Protocol; the server does the hard part: validation, theming, accessible HTML rendering, the SCORM runtime bridge, and packaging.
- A quality gate that says no. AI can generate a lot of mediocre content fast. This server
pushes back: schema validation on every spec, an anti-slop lint (
lint_course) whose error tier blocks builds, and a CI proof chain (XSD + real SCORM Cloud imports + behavioral probe) so that what ships actually works in an LMS — see Standards & evidence. - No vendor lock-in. Output is a plain SCORM 1.2/2004 zip with a self-contained player. MIT licensed, self-hostable, and open to contributions.
Author = the MCP client · Compiler = this server.
[A quiz screen rendered in the built-in slide-stage player]
Quickstart
Option 1 — Hosted MCP (zero install)
Point any MCP client (Claude desktop/web/Code, Antigravity, …) at:
Sign in via OAuth or get an API key at the portal: https://mcp.edumints.com. Then ask: "Build a 6-minute interactive course on X with a quiz and a summary." — you get a downloadable SCORM zip back.
Works best together with the authoring skill (a Claude Agent Skill that teaches an AI client how to author high-quality courses with this server): https://github.com/kemalyy/edumints-scorm-skill
Option 2 — Docker (self-hosted)
The image includes all optional features (ffmpeg, Node + HyperFrames for video, Piper TTS).
Apple Silicon + Docker Desktop: if the container crashes with
Illegal instruction(SIGILL), it is an upstream native-ARM64 issue incryptography's Rust bindings (pyca/cryptography#14733) — not this repo. Workaround: run with--platform linux/amd64(emulated).
Option 3 — Local (Python)
For video generation also install Node 22+ with HyperFrames (npm i -g hyperframes) plus ffmpeg.
Configuration: copy .env.example and adapt (data dir, quotas, base URL, TTLs). No secrets are
required to run locally.
Example
A course is produced from a single build_from_spec call (this is examples/small.json, abridged):
Full working specs live in examples/ (games, branching, themed and i18n courses).
Features
- 46 MCP tools —
build_from_spec(single-call path), granular editing (create_project/add_screen/update_screen/ …),set_theme/set_tracking,add_asset(SSRF-guarded imports),synthesize_speech(offline Piper TTS), video tools (ffmpeg / HyperFrames motion-graphics),preview/validate_package/build_package,lint_course(quality gate),export_qti(QTI 2.1),list_compositions/set_composition/set_screen_composition. - Composition system — every new course gets a deliberate focal point, an emphasis hierarchy
(E1–E5:
kicker,lead,<mark>) and a balanced symmetric/asymmetric layout chosen from a JSON pattern catalogue (rule of thirds, Z/F eye flow, course rhythm) — or any free grid — on all 31 screen types. The server asks the decisions that matter while the course is built (composition_questions), questions/polls/branching take an optional case (stimulus) for application-level assessment, tabs become master–detail and game scenes go side by side. New default palettemint(+ink,slate), embedded OFL fonts. Existing courses render unchanged. - 31 screen types — title, content, MCQ, true/false, fill-in-the-blank, drag & drop, hotspot, branching scenario, video, accordion, tabs, flashcards, matching, sorting, timeline, lottie, guided software simulation, decision scenario, term-match race, escape room, labeled diagram, data chart, image compare, results breakdown, poll/reflection, summary, composable game, adaptive practice, worked example, exploration, embedded HTML (artifact→SCORM). Full reference: docs/SCREEN_TYPES.md.
- Composable game engine — the
gamescreen composes mechanic primitives (score/lives/timer/hints) + declarativewhen event if condition then actionrules + branching nodes;adaptive_practiceestimates proficiency (Elo or Bayesian Knowledge Tracing) and calibrates difficulty per learner. See docs/GAME-PATTERNS.md. - Slide-stage player — fixed 16:9 stage scaled to every screen, player bar (play/seekbar/captions/menu/replay), narration-synced timed timelines, section-grouped menu, fully responsive, inline SVG icons. i18n shell (tr/en) with RTL support.
- Real SCORM tracking —
cmi.interactions(question-level reporting),cmi.objectives,adlcp:masteryscore(1.2) /completionThreshold(2004), LOM metadata, and a compact suspend-data v2 encoding for resume state. - Theming — style presets (
style-minimal/style-playful/style-premium, and more) layered with brand tokens: one style, many brands. Light/neutral/high-contrast presets, WCAG-aware,prefers-reduced-motionsupport. - Quality gates — anti-slop lint with a blocking error tier, plus game accessibility audits.
- Media — cross-MCP asset import (
add_assetvia data-URI or https), ffmpeg processing, programmatic motion-graphic/data-viz video (HyperFrames), built-in offline Turkish TTS (Piper). - Telemetry — optional xAPI statements from the player; cmi5 is partial (launch
detection only — no
cmi5.xmlpackaging yet). See docs/GAME-XAPI.md. - QTI 2.1 export — quiz screens export as QTI
assessmentItems for interop with assessment platforms. See docs/QTI.md. - SCORM 1.2 & 2004, deterministic packaging, cost guardrails, opt-in/lazy heavy features.
Standards & evidence
Claims are cheap; this repo ships its proof chain in CI:
- XSD conformance — generated
imsmanifest.xmlfiles are validated against the official ADL/IMS schemas for both SCORM 1.2 and 2004 (automated intests/test_conformance.py). - Real SCORM Cloud round-trip — CI imports built packages into actual SCORM Cloud via its REST API: 4/4 combinations (small/rich × 1.2/2004) must import with 0 parser warnings and produce a launchable registration. This is a blocking gate, not an advisory check.
- Behavioral probe —
scorm-probelaunches built courses in real Chromium against a fake LMS and asserts runtime behavior (init, navigation, scoring, completion). Also blocking in CI; a silent skip fails the build.
Details, procedures and honest limits: docs/CONFORMANCE.md. Accessibility: WCAG 2.2 AA conformance statement with explicitly documented limitations — docs/ACCESSIBILITY-CONFORMANCE.md.
Official sources
The only official distribution channels for this project are:
Anything else — mirror repos, re-uploaded zips, PyPI/npm packages, other registries or domains — is unofficial and unverified. We publish no PyPI or npm packages today. If you find a lookalike, please report it via SECURITY.md.
Documentation
Architecture
Output: self-contained index.html + imsmanifest.xml + assets + SCORM runtime, zipped.
Contributing
Issues and PRs welcome. The codebase favors small focused modules, additive changes and backward
compatibility. See CONTRIBUTING.md. Tests: pytest.
License
- This project: MIT — LICENSE.
- Vendored third-party components (scorm-again, lottie-web): THIRD_PARTY_NOTICES.md.
Built by edumints.com. SCORM is a trademark of ADL; other product names mentioned are trademarks of their respective owners (nominative use only).
来源:README.md,提交 fcb6d8c
工具
0版本历史
4- v1.9.0最新Oct 14, 2026
- v1.8.0Oct 13, 2026
- v1.7.0Oct 8, 2026
- v1.6.0Sep 16, 2026
评分
已满足适用检查项的 85%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
- 近 30 天内可连通必需25 分
- 已声明认证方式必需10 分
- 已列出工具15 分
请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。
- 描述必需15 分
- 图标10 分
- 文档15 分
- 许可证10 分