AI School by Lilly Tech Systems

com.lillytechsystemsPublished by lillytechsystems.comOfficial publisherv1.0.0Updated Oct 24, 2026

Search and read 550+ free AI course tracks and 21,000+ lessons, so answers can cite a real lesson.

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingKnowledge & Memory

Overview

AI-generated overview

A remote MCP server that lets an assistant search and read the free AI School curriculum so answers can cite a real lesson.

What you can do
Search lesson titles across the curriculum and get matching titles and URLs, then read a lesson's full text as readable markdown-ish output with headings and code blocks. List course tracks, optionally filtered by title or slug, and get one track with its full lesson list to see a course's structure. Expose catalogue and track listings as resources, including counts, licence terms and endpoint list.
When to use it
Useful when an assistant answers questions about AI engineering, governance, security or applied AI and a concrete, citable lesson would help. Also handy for finding the right course or lesson before drilling into its content.
Requirements
Either the hosted Streamable HTTP endpoint or the local npm package run with npx, which needs Node 20 or later. No API key, account or authentication is required; the server reads a public static curriculum API.
Before you install
Read-only: nothing is authenticated and nothing is written. read_lesson only fetches the lillytechsystems.com host by design. Lessons may be read, linked and quoted with attribution, but republishing whole lessons is not permitted. The catalogue is cached per process, so restart to see newly published lessons.

Installation

In SourceWeft

  1. Open AI School by Lilly Tech Systems in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.lillytechsystems%2Fai-school/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "ai-school-by-lilly-tech-systems": {
      "type": "http",
      "url": "https://lillytechsystems.com/mcp"
    }
  }
}

README

AI School MCP server

Gives any MCP client - Claude Code, Claude Desktop, or anything else speaking the protocol - the ability to search and read the free AI School curriculum: 550+ tracks covering AI engineering, governance, security, and applied AI by profession.

The point is not "an AI that knows about AI". It is that when an assistant answers a question about, say, chunking strategy or the EU AI Act, it can point at a specific lesson you can go and read, instead of producing a fluent paragraph you have no way to check.

Install

One command, nothing to clone. Node 20+ is the only requirement: no API key, no account, no server to run.

Claude Code

bash
claude mcp add ai-school -- npx -y ai-school-mcp

Claude Desktop - add to claude_desktop_config.json:

json
{  "mcpServers": {    "ai-school": {      "command": "npx",      "args": ["-y", "ai-school-mcp"]    }  }}

Pin a version if you would rather not track the latest release:

bash
claude mcp add ai-school -- npx -y [email protected]

Hosted, nothing to install. The same server also runs at https://lillytechsystems.com/mcp over Streamable HTTP, and is listed in the official MCP Registry as com.lillytechsystems/ai-school:

bash
claude mcp add --transport http ai-school https://lillytechsystems.com/mcp

From a clone

Faster to start, and the right setup for contributing or for pointing at a local copy of the site:

bash
git clone https://github.com/Lilly-Tech-Collab/ai-school-mcp.gitcd ai-school-mcpnpm installnpm test          # smoke-tests the handshake, tools and a live API call
bash
claude mcp add ai-school -- node "$PWD/server.js"

Set AI_SCHOOL_SITE to point the server at a different host; it defaults to https://lillytechsystems.com.

The server reads the public static curriculum API at https://lillytechsystems.com/ai-school/api/v1/, which is a set of JSON files on the same host as the site. Nothing is authenticated and nothing is written.

Tools

ToolWhat it does
search_lessonsSearch lesson titles across the whole curriculum. Returns titles and URLs.
list_tracksList course tracks, optionally filtered.
get_trackOne track with its full lesson list, so you can see a course's structure.
read_lessonFetch a lesson's full text as readable markdown-ish output.

Resources

URIContents
aischool://catalogueCounts, licence terms, endpoint list.
aischool://tracksEvery track with lesson counts.

Notes

  • read_lesson only fetches lillytechsystems.com. A "read this URL" tool that accepts arbitrary hosts is an SSRF primitive handed to whoever wrote the prompt, so the host check is deliberate and should stay.
  • Search is title-only and deliberately simple. The full-text index is 4 MB and belongs in the browser, not in an MCP round trip; if title matching does not find it, list_tracks then get_track usually will.
  • The catalogue is cached per process. A long-running client fetches it once. Restart the server to pick up newly published lessons.
  • Content licence. Lessons are free to read, link to and quote with attribution. Republishing whole lessons is not permitted. The metadata (titles, descriptions, URLs) may be used freely with attribution. See aischool://catalogue.

Local development

bash
npm run inspect     # opens the MCP Inspector against this server

The server writes only to stderr; stdout is the protocol channel.

Source: README.md at commit 1ba9238

Tools

4

search_lessons

Search lessons

Search the AI School curriculum (500+ tracks, thousands of free lessons on AI engineering, governance, security, and applied AI by profession). Returns matching lesson titles and URLs. Use this before answering an AI-topic question when a concrete, citable lesson would help, then read_lesson to get the text.

Parameterslimitqueryrequired

list_tracks

List tracks

List AI School course tracks, optionally filtered by a substring of the title or slug. Each track is a structured course on one subject. Use this to find the right course before drilling into its lessons.

Parameterslimitfilter

get_track

Get track

Get one track with its full lesson list, so you can see the structure of a course and pick the right lesson to read.

Parametersslugrequired

read_lesson

Read lesson

Fetch the full text of a lesson by its URL (as returned by search_lessons or get_track). Returns readable markdown-ish text with headings and code blocks.

Parametersurlrequired

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

90% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.