ai-school-mcp
Enables MCP clients to search and read the free AI School curriculum, including 550+ tracks on AI engineering, governance, security, and applied AI by profession.
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+ and git are the only requirements: no API key, no account, no server to run.
Claude Code
claude mcp add ai-school -- npx -y github:Lilly-Tech-Collab/ai-school-mcp
Claude Desktop - add to claude_desktop_config.json:
{
"mcpServers": {
"ai-school": {
"command": "npx",
"args": ["-y", "github:Lilly-Tech-Collab/ai-school-mcp"]
}
}
}
Pin a version if you would rather not track main:
claude mcp add ai-school -- npx -y github:Lilly-Tech-Collab/ai-school-mcp#v1.0.0
<sub>The trade-off: npx from a git source re-fetches on every launch, so
the server takes roughly 5 seconds to start each time your client opens it,
and it needs git on PATH. Once this is on npm the same command with
ai-school-mcp in place of the github: spec will start in about a second and
drop the git requirement. If the delay bothers you before then, use the clone
below, which starts instantly.</sub>
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
| Tool | What it does |
|---|---|
search_lessons |
Search lesson titles across the whole curriculum. Returns titles and URLs. |
list_tracks |
List course tracks, optionally filtered. |
get_track |
One track with its full lesson list, so you can see a course's structure. |
read_lesson |
Fetch a lesson's full text as readable markdown-ish output. |
Resources
| URI | Contents |
|---|---|
aischool://catalogue |
Counts, licence terms, endpoint list. |
aischool://tracks |
Every track with lesson counts. |
Notes
read_lessononly fetcheslillytechsystems.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_tracksthenget_trackusually 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.
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