CourseCode Framework

Name: CourseCode Framework
Author: course-code-framework

by course-code-frameworkversion 0.4.5i★ –iRuns on your computer

Registry nameio.github.course-code-framework/coursecode

Install

Overview

Description from the maker (original English)

Preview, screenshot, lint, and test SCORM, cmi5, and LTI courses built with CourseCode Framework.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "coursecode": {
      "command": "npx",
      "args": [
        "-y",
        "coursecode",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add coursecode -- npx -y coursecode mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "coursecode": {
      "command": "npx",
      "args": [
        "-y",
        "coursecode",
        "mcp"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "coursecode": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "coursecode",
        "mcp"
      ]
    }
  }
}

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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account course-code-framework, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32655 servers in this category
Published to the registry more recently than 98% of the other 32655 servers in this category
Basic checks equal to or better than 100% of the other 32655 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is CourseCode Framework safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.5) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SuperCollider

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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SuperCollider

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README from the maker

Open the README

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.

CourseCode Framework

Build LMS courses with Claude Code, Codex, or any AI tool that supports MCP.

CourseCode Framework is open source and runs on your computer. Your AI tool writes the course as regular project files you can inspect, version, and edit. CourseCode's MCP server lets it preview, screenshot, lint, and test what it built. Export SCORM 1.2, SCORM 2004, cmi5, or LTI 1.3.

Start from a topic or from your own PDFs, Word documents, and PowerPoint decks. No coding is required to start, and you have full control of the code when you want it.

View the demo

View the live CourseCode demo course

CourseCode ecosystem

CourseCode Framework (this repository) is open source and works on its own. CourseCode Cloud is an optional paid hosting service for deploying and delivering courses.

Framework documentation lives at coursecodeframework.com/docs and in framework/docs/.

Features

Works with your AI tool: A plugin for Claude Code and Codex, and MCP settings for Claude Code, Codex, Cursor, and VS Code in every new project. Any other MCP client can run coursecode mcp
No coding required to start: Describe what you want and let AI help build slides, interactions, and structure
Course modernization: Use existing SCORM courses, PowerPoints, PDFs, Word docs, scripts, and SME notes as source material for upgraded courses
LMS integration: SCORM 1.2, SCORM 2004, and cmi5 packaging, plus an LTI 1.3 browser contract for trusted server-backed launches
Rich UI components: Images, video, accordions, tabs, and custom sandboxed HTML/JS embeds
Rich interactions: Multiple choice, drag-drop, fill-in-the-blank, matching, sequencing, and more
Accessibility: Designed to meet WCAG 2.1 AA, with dark mode, high contrast, and reduced motion
TTS audio narration: Built-in player with AI text-to-speech generation (Deepgram, ElevenLabs, OpenAI, Google Cloud, or Azure, using your own API key)
Smart tracking: Engagement requirements, learning objectives, and progress persistence
Themeable design: CSS custom properties for easy brand customization
Custom endpoints: Optional webhooks for error reporting and learning record storage
Live preview: Visual editing, status dashboard, config panels, catalog browser, and full LMS simulation with debug tools

Quick Start

With the plugin (recommended)

The Claude Code and Codex plugin guides your AI tool from a new project to an LMS package, and it works before a project exists. It is not yet in the Claude Code or Codex plugin directories, so install it from this repository:

# Claude Code

claude plugin marketplace add course-code-framework/coursecode claude plugin install coursecode@coursecode

Codex

codex plugin marketplace add course-code-framework/coursecode codex plugin add coursecode@coursecode

Then start your AI tool in an empty folder and describe the course you want.

The plugin needs Node.js 22.15 or later but no global coursecode install. If Node.js is missing, its setup skill offers to install it. The plugin bundles the MCP server below and six skills: setup, new-course, outline, build-slides, review, and publish. See plugin/README.md.

With npx

With Node.js 22.15 or later installed, create a project:

npx coursecode create my-course

Open the my-course folder in Claude Code, Codex, Cursor, or VS Code and describe the course you want. The project includes MCP settings for each of those tools and an AGENTS.md with the authoring workflow, so the AI tool connects on its own. Claude Code asks once to approve the project's MCP server; Codex reads project settings after you trust the folder.

To preview without an AI tool:

cd my-course

npx coursecode preview

Open http://localhost:4173 to view and edit your course.

The example course included with every new project is a complete guide to using CourseCode.

Start with the User Guide for a complete walkthrough.

Requirements

Node.js 22.15 or later. You can run every command through npx coursecode, or install the CLI globally for the shorter coursecode command used in the rest of this guide:

npm install -g coursecode

Learner courses support Chrome 111+, Edge 111+, Firefox 114+, and Safari 16.4+. SCORM compatibility describes LMS communication and packaging; it does not imply Internet Explorer support.

Also recommended:

A code or text editor, such as VS Code, Cursor, or similar
An AI coding tool with MCP support, such as Claude Code, Codex, Cursor, or VS Code with GitHub Copilot
GitHub Desktop for version control

MCP Integration

CourseCode includes a built-in Model Context Protocol (MCP) server. When your AI tool supports MCP, it connects directly to your course project, so you don't have to paste files into a chat.

New projects already include MCP settings for Claude Code (.mcp.json), Codex (.codex/config.toml), Cursor (.cursor/mcp.json), and VS Code (.vscode/mcp.json). To add them to an existing project, run coursecode agent-setup. Any other MCP client can start the server with:

coursecode mcp

Run from a global install or npx, the server hands off to the project's own CourseCode version.

With MCP, your AI can:

Preview and screenshot slides to verify layout and design
Lint its own code and catch errors automatically
Navigate and test interactions directly
Browse the component catalog to discover available UI elements
Read course state including engagement, scoring, and LMS data

See the User Guide for setup instructions.

The Course Directory

All your course content lives in the course/ folder:

my-course/

├── course/ # ← Your content goes here │ ├── course-config.js # Course structure, format, objectives, settings │ ├── slides/ # Slide content files │ │ ├── intro.js │ │ ├── content-01.js │ │ └── assessment.js │ ├── assets/ # Images, audio, video │ │ ├── images/ │ │ └── audio/ │ └── theme.css # Brand customization │ ├── framework/ # Framework code (don't edit) │ └── docs/ # Guides and templates

Your Course

Location	What's There
`course/course-config.js`	Course settings: structure, objectives, navigation rules
`course/slides/`	Your slide content (one file per slide)
`course/theme.css`	Brand colors and typography
`course/assets/`	Images, audio, and video files

Key Documentation

All guides are in framework/docs/:

Document	Audience	Purpose
`USER_GUIDE.md`	Humans	Complete guide: workflows, features, exporting and sharing
`COURSE_AUTHORING_GUIDE.md`	AI Agents	Slide authoring, interactions, CSS styling
`COURSE_OUTLINE_GUIDE.md`	AI Agents	How to write effective course outlines
`COURSE_OUTLINE_TEMPLATE.md`	AI Agents	Blank template to start an outline
`DATA_MODEL.md`	AI Agents	LMS data model and tracking fields
`FRAMEWORK_GUIDE.md`	AI Agents	Framework internals (advanced)

AI-Driven Authoring Workflow

Four steps to go from source materials to a course ready for your LMS.

Step 1: Convert Your Source Materials

Place existing content (PDFs, Word docs, PowerPoints) in course/references/, then run:

coursecode convert

Converts to markdown in course/references/converted/. Skip this step if starting from scratch.

Step 2: Create Your Course Outline

Ask your AI to create a course outline based on your content.

With MCP: The AI reads your references and outline template automatically
Without MCP: Share your converted docs, COURSE_OUTLINE_TEMPLATE.md, and COURSE_OUTLINE_GUIDE.md with your AI

Review and refine the outline before building.

Step 3: Build the Course

Ask your AI to build slides from your approved outline.

With MCP: The AI reads all docs, lints its code, and screenshots slides to verify
Without MCP: Share your outline and COURSE_AUTHORING_GUIDE.md with your AI

Step 4: Preview, Iterate, and Export

coursecode preview

The preview server provides:

Live reload: Changes appear instantly
Visual editing: Click elements to edit content directly
Status dashboard: Course health, errors, and build status at a glance
Config panels: Adjust settings, interactions, and assessments
Component catalog: Browse available UI elements with live previews
Debug tools: Inspect LMS state, test interactions, verify tracking

When it's ready, build a package and upload it to your LMS. The ZIP is written to your project folder:

coursecode build                    # cmi5 (default)

coursecode build --format scorm1.2 # or scorm2004, lti

Other ways to share it:

One file, no server: a portable HTML course that recipients open by double-clicking. Progress is saved in that browser only.

  coursecode export html

Review site: a static copy of the preview for GitHub Pages, Netlify, or any static host.

  coursecode preview --export

Hosted delivery (optional): CourseCode Cloud is a paid hosting service for CourseCode courses. coursecode deploy uploads one build; Cloud then serves it, provides a shareable preview link, and generates any LMS format on demand. See CourseCode Cloud in the user guide.

Core Commands

Command	Description
`coursecode create`	Create a new course project; `create .` derives a title-cased course title and hyphenated npm name from the current folder
`coursecode init [name]`	Initialize the current directory, optionally with a course title
`coursecode preview`	Preview your course locally
`coursecode export html`	Create one shareable course file that opens without an LMS or server
`coursecode convert`	Convert PDFs, Word, PowerPoint to markdown
`coursecode mcp`	Start the MCP server for AI integration
`coursecode agent-setup`	Add MCP settings for Claude Code, Codex, Cursor, and VS Code, plus `AGENTS.md`, to an existing project
`coursecode lint`	Validate course structure and content
`coursecode build`	Build a package for LMS upload
`coursecode narration`	Generate audio narration from text
`coursecode deploy`	Upload a build to CourseCode Cloud (optional; `deployments`, `promote`, and `preview-link` manage it)

For the full command list and sharing options, see the User Guide or run coursecode --help.

UI Components

Build engaging slides with interactive elements. Start with AI assistance, then edit the generated files directly whenever you want more control.

Media & Widgets

Component	Description
Tabs	Switch between content panels
Accordion	Expandable/collapsible sections
Flip Cards	Reveal content on click
Carousel	Swipe through slides
Modal	Pop-up detail views
Interactive Timeline	Clickable timeline events
Interactive Image	Hotspots on images

| Embed Frame | Sa

Only the beginning is shown; read the rest in the repo

CourseCode Framework

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

SuperCollider

README from the maker

CourseCode Framework

View the demo

CourseCode ecosystem

Features

Quick Start

With the plugin (recommended)

Codex

With npx

Requirements

MCP Integration

The Course Directory

Your Course

Key Documentation

AI-Driven Authoring Workflow

Step 1: Convert Your Source Materials

Step 2: Create Your Course Outline

Step 3: Build the Course

Step 4: Preview, Iterate, and Export

Core Commands

UI Components

Media & Widgets