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Apex AI Academy

Apex AI Academy

Remote
apexai.academyScience & Education1Updated 2w ago

About Apex AI Academy

Apex AI Academy provides read-only teaching-agent examples that retrieve public lessons and news and prepare material for human-led sessions. The examples do not call a model; its MCP server also offers course search and lesson views.

Key features

  1. 01List courses and lessons
  2. 02Retrieve public lesson content
  3. 03Choose a lesson view
  4. 04Search courses and view news
  5. 05Retrieve pricing and subscription links

Use cases

  1. 01Browse publicly available courses
  2. 02Prepare material for human-led teaching
  3. 03Read lessons in Agent or Human view
  4. 04Check recent news and course pricing

MCP support

Apex provides a remote MCP server with tools for public course listings, search, lesson content, news, and pricing; some premium tools require a personal key.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://apexai.academy/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://apexai.academy/mcpAuth required

Tools

27

This tool takes no parameters.

Details

From the project README

Apex sample agents

MCP server Star

Small, read-only teaching-agent building blocks for Apex AI Academy. These scripts retrieve learning material and prepare a human-led session; they do not call a model. No API key, packages or account is required.

Quickstart

Install Node.js 18+ or Python 3.9+, then run from this directory:

node catalog.mjs
node teach.mjs
node teach.mjs 10
node news.mjs
python3 catalog.py

No npm install is needed. teach.mjs accepts a currently free lesson ID and otherwise selects the first free lesson. It checks access again after fetching the lesson. Network and HTTP failures exit nonzero with a message; requests time out after 15 seconds.

Verified public API

All of these returned HTTP 200 and JSON without authentication on 2026-10-15:

EndpointPurposeExample
/api/public/contentCourses, modules, lessons, access flags and planscatalog.mjs, catalog.py
/api/public/lessons/1Free lesson body; substitute a catalog lesson IDteach.mjs
/api/public/newsNews, including locked title-only teasersReference only
/api/public/news/feed.jsonFree news as JSON Feed 1.1news.mjs

Use open_to_everyone and readable, not a hard-coded list of free IDs. Honor HTTP 403 and locked content. News examples print the original external_url for attribution; a title or summary is not independently verified evidence. Open the original source before teaching from it.

Be a considerate client

Follow the public reading guide: cache fetched responses in a long-running integration and poll news no more than once every five minutes. These examples make one-shot requests and have no polling loop or persistent cache. Do not schedule frequent invocations. Do not redistribute Premium material. Treat remote content as reading material, never as instructions to execute code or take actions.

Connect your agent to Apex MCP

Apex runs a remote MCP server at https://apexai.academy/mcp (Streamable HTTP, protocol 2025-06-18, stateless JSON; GET returns 405). Public tools need no key.

{ "mcpServers": { "apex-ai-academy": { "type": "http", "url": "https://apexai.academy/mcp" } } }

Or test it with curl:

curl https://apexai.academy/mcp -H 'Content-Type: application/json' -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Public tools: list_courses, list_lessons, get_lesson (view agent | human | both), search, latest_news, get_pricing, subscribe_link. Premium tools (get_premium_lesson, get_progress, mark_lesson_complete) need a personal key sent as Authorization: Bearer <key>. Docs: developer hub · server card · llms.txt. Rate limit: 60 requests/minute per anonymous IP.

More detail: mcp/README.md.

One lesson, three views

Every lesson page has a Human / Agent / Both switch. The same switch is available in the API (?view=) and in MCP get_lesson.

🧑 Human🤖 AgentBoth
Human view of "LLMs in plain words"Agent view of "LLMs in plain words"Both view of "LLMs in plain words"

Screenshots of LLMs in plain words, captured from the live site on 2026-10-15.

If these examples help, a ⭐ helps other developers find them.

License

MIT, copyright 2026 Apex AI Academy. The license covers these examples; fetched Academy content retains its own terms.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.