# Lumen

Lumen connects AI agents to a learning platform that builds courses and answers questions from lesson material. Use it to create a course from a learning goal or inspect how an agent reached an answer.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed · ★ 90
- Author: ahmedEid1
- License: GPL-3.0 · policy=link-only · description only; the file stays with the author
- Source: https://github.com/ahmedEid1/lumen/tree/HEAD/apps/backend/app/mcp
- Updated: 2026-06-07
- HTML: https://affpapa.org/en/nevibecode/mcp/lumen

## What it does

Lumen is an e-learning platform with an AI orchestration layer. It can turn a learning goal into a course, then provide a course-scoped RAG tutor whose answers cite lessons. Its MCP server makes Lumen tools available to AI clients.

The system uses sub-agents for retrieval, code execution, quiz creation and concept explanations. Agent steps and tool calls are logged, and course authors can review the build process. Retrieval is limited to the relevant course and passes through an access-control check.

Lumen lists support for Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline and Zed. The MCP description says it exposes nine tools, though the full tool list is not available here. You’ll need to configure an MCP client; setup commands vary by platform.

## Install

### Claude Code (native platform)

**Install**
- The MCP registry has no launch command for it: see the repository README

## When to use it
- Build a private course from a learning goal
- Get lesson-based answers with citations
- Inspect the steps taken by an agent
- Create a quiz from course material

## Example prompts
- Build a course on PostgreSQL basics and show me its outline.
- Answer this question using the course lessons and cite the relevant material.
- Show the steps and tool calls behind the agent’s answer.

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md