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StudioMeyer Academy

Offline AI-operator curriculum with lessons, playbooks, recipes, search, tutoring, quizzes, reviews, and certificates.

Install StudioMeyer Academy

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "studiomeyer-academy": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-academy"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Automated check passed— started and listed 12 tools correctly (8d ago).

Overview

StudioMeyer Academy MCP server puts a multilingual AI-operator curriculum inside MCP-compatible clients. The local npm package provides offline lessons, playbooks, recipes, search, and tutoring context, while an optional API key adds progress tracking, quizzes, reviews, and certificates. Reach for it when you want to learn LLMs, prompting, automation, memory, MCP, hooks, skills, or multi-agent systems directly from an editor or AI assistant.

Use cases

  • Study LLM and MCP concepts through interactive lessons
  • Search practical playbooks and build recipes from an editor
  • Guide an AI assistant through the Academy curriculum
  • Track course progress and complete quizzes with an account

Key features

  • Six-level curriculum in German, English, and Spanish
  • Offline lessons, playbooks, recipes, and curriculum search
  • AI-ready lesson context for tutoring
  • Optional progress, quizzes, reviews, and certificates
  • Stdio and hosted Streamable HTTP deployment modes

Tools12

What StudioMeyer Academy lets your agent do. Expand a tool for its parameters.

Verified live~1.1k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

9/9 checks healthy over the last 44d

What it can do

From the 12 tools this server returned when we ran it; 12 declare their own safety hints.

Makes network requests · 2Read-only tools · 12
Network at startup3 connections
Files written at startupNone
Install scriptsNone
npm provenanceNot published
Package age180 days
Maintainers1

Observed 2026-10-20 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 12d ago via OSV.dev · mcp-academy (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars1Stargazers on the source repository.
npm downloads172Package downloads in the last 30 days.
Last commit7d agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed12Callable tools this server registers over MCP.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How StudioMeyer Academy works

What StudioMeyer Academy MCP server does

StudioMeyer Academy MCP server exposes an educational curriculum through the Model Context Protocol. The material covers six levels and includes 63 lessons, 104 practical playbooks, and 63 build recipes. Content is available in German, English, and Spanish, with English used by default.

The first three levels introduce LLM fundamentals, prompting, and basic automation. Later levels address persistent memory, MCP, hooks and skills, multi-agent workflows, and creating and selling an MCP server. The package is intended for interactive learning inside an AI client rather than for operating an external business system.

How it works

The npm package contains a bundled copy of the curriculum, so the core learning tools do not need an account, API key, database, or network connection. An assistant can begin with academy_welcome, inspect the learning path, retrieve lessons, and search the curriculum. academy_tutor_context packages lesson material so the connected AI can explain it or use it during tutoring.

There are two deployment models. The local stdio process runs through npx -y mcp-academy and provides the offline library. A hosted Streamable HTTP endpoint is available at https://mcp.studiomeyer.academy/mcp; that option supports sign-in and remembers course progress. ChatGPT and other remote connectors use the hosted URL rather than a local command.

With ACADEMY_API_KEY configured for stdio, the local process can call the Academy REST bridge for account features. These include statistics, next-lesson recommendations, completion updates, quizzes and submissions, reviews and grading, certificates, and the Pro tutor. The hosted course offers the same account features through OAuth instead of a shared API key.

Setup and configuration

For Claude Code, register the process with:

Terminal
claude mcp add academy -s user -- npx -y mcp-academy

For clients using JSON MCP configuration, define npx as the command and pass -y and mcp-academy as arguments. The README specifically shows this pattern for Cursor, Claude Desktop, and Codex.

Set ACADEMY_API_KEY only when personal progress or other account-backed features are needed. Keys can be created from the Academy dashboard. ACADEMY_BASE_URL defaults to https://studiomeyer.academy and is intended for the real Academy origin or a local Academy instance during development; it is where the API key is sent.

The repository also documents an HTTP mode using --http and ACADEMY_MCP_PORT. Running that mode as a self-hosted endpoint requires the Academy database, a public base URL, SMTP for magic links, and optional Google or Discord credentials for those sign-in methods. Each request needs a caller Bearer token.

Tools and capabilities

StudioMeyer Academy MCP server includes tools for:

  • Orientation and course navigation with academy_welcome and academy_levels.
  • Listing and reading levels, lessons, playbooks, and recipes.
  • Full-curriculum search with academy_search.
  • Preparing lesson content for AI tutoring with academy_tutor_context.
  • Account features such as stats, next lessons, completion, quizzes, reviews, certificates, and the account tutor when authenticated.
  • search and fetch for the hosted ChatGPT connector contract.

Limitations and notes

The offline package does not provide persistent progress, quizzes, certificates, or the account tutor without authentication. Quiz answer keys and the tutor system prompt are kept on the server and are not included in the package. The HTTP mode is not a no-configuration local service: it requires authentication and Academy infrastructure, including Postgres. ACADEMY_API_KEY is ignored in HTTP mode because requests must represent individual callers.

Reviews

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Frequently Asked Questions about StudioMeyer Academy

StudioMeyer Academy is an MCP server that connects AI clients to a multilingual AI-operator curriculum covering lessons, playbooks, recipes, and search. Its main tools provide course orientation, lesson retrieval, tutoring context, quizzes, reviews, progress tracking, and certificates, with account features available through an API key or hosted sign-in.

Install it by running `npx -y mcp-academy` through your MCP client. Claude Code can use `claude mcp add academy -s user -- npx -y mcp-academy`; Cursor, Claude Desktop, and Codex can use an MCP configuration with `npx` and the package arguments.

Yes, the local package works offline for the bundled curriculum. Lessons, playbooks, recipes, levels, search, and tutoring context are included in the package. Persistent progress, quizzes, reviews, certificates, and the account tutor require the Academy REST bridge and authentication.

Enable progress tracking by setting `ACADEMY_API_KEY` for the stdio server. The key unlocks account-backed statistics, next-lesson recommendations, completion updates, quizzes, reviews, and certificates. The hosted endpoint uses OAuth sign-in instead of requiring a local API key.

Yes, ChatGPT can connect through the hosted MCP URL `https://mcp.studiomeyer.academy/mcp`. Add it as a remote connector and sign in with Google, Discord, or an email link; ChatGPT does not connect to the local command directly.

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