AI School by Lilly Tech Systems

com.lillytechsystems由 lillytechsystems.com 发布官方发布者v1.0.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行网页搜索与抓取知识与记忆

概览

AI 生成的概览

一个远程 MCP 服务器,让助手搜索并阅读免费的 AI School 课程,使回答能引用真实课程。

可以做什么
按标题搜索整个课程库,返回匹配的课程标题和链接,再以带标题和代码块的可读文本读取课程全文。列出课程轨道,可按标题或 slug 子串筛选,并获取单个轨道及其完整课程列表以了解课程结构。以资源形式提供目录和轨道清单,包括数量、许可条款和端点列表。
适用场景
适合助手回答 AI 工程、治理、安全或行业应用 AI 相关问题时,需要给出具体可引用的课程。也适合在深入内容前先找到合适的课程或课时。
运行要求
可使用托管的 Streamable HTTP 端点,或通过 npx 运行本地 npm 包,后者需要 Node 20 或更高版本。无需 API 密钥、账号或身份验证;服务器读取公开的静态课程 API。
安装前请注意
只读:不做身份验证,也不写入任何内容。read_lesson 按设计只抓取 lillytechsystems.com 主机。课程可阅读、链接并注明出处引用,但不允许整篇转载。目录按进程缓存,需重启才能看到新发布的课程。

安装

在 SourceWeft 中

  1. 打开 控制台中的 AI School by Lilly Tech Systems,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.lillytechsystems%2Fai-school/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源:README.md,提交 1ba9238

工具

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.

输入参数limitquery必填

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.

输入参数limitfilter

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.

输入参数slug必填

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.

输入参数url必填

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

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