AI School by Lilly Tech Systems

Official registry Search and web

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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http ai-school-by-lilly-tech-systems 'https://lillytechsystems.com/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "ai-school-by-lilly-tech-systems": {
            "type": "http",
            "url": "https://lillytechsystems.com/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. AI School MCP server
  2. Install
  3. Tools
  4. Resources
  5. Notes
  6. Local development

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

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

Claude Desktop - add to claude_desktop_config.json:

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

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

claude mcp add ai-school -- npx -y ai-school-mcp@1.0.1

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:

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:

git clone https://github.com/Lilly-Tech-Collab/ai-school-mcp.git
cd ai-school-mcp
npm install
npm test          # smoke-tests the handshake, tools and a live API call
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

npm run inspect     # opens the MCP Inspector against this server

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

Frequently asked questions

What is AI School by Lilly Tech Systems?

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

How do I install AI School by Lilly Tech Systems?

It runs as a remote server. In Claude Code: claude mcp add --transport http ai-school-by-lilly-tech-systems 'https://lillytechsystems.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does AI School by Lilly Tech Systems need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is AI School by Lilly Tech Systems open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains AI School by Lilly Tech Systems?

It is published by Lilly-Tech-Collab. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.