mcpField
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LessonFolk

LessonFolk

Remote
github.com/CGSebScience & Education3Updated today
Repository

About LessonFolk

LessonFolk is an open-source collection of AI courses designed for conversational teaching by an AI tutor. Learners connect an AI chat to its MCP server to get lessons tailored to their level and save progress on the website.

Key features

  1. 01Conversational AI-tutor lessons
  2. 02Courses from beginner to advanced
  3. 03Learning paths based on level and interests
  4. 04Progress saved to the website
  5. 05Open-source course contributions

Use cases

  1. 01Learn AI through guided conversations
  2. 02Choose a course path by interests
  3. 03Resume learning with saved progress

MCP support

The MCP server gives connected AI chats access to courses and tutor instructions, and tools to save learning progress.

Configuration

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

Endpointhttps://lessonfolk.com/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.

Tools

Details

From the project README

LessonFolk

Learn AI from zero to advanced, with an AI as your tutor.

lessonfolk.com

M8ven Score Listed on Claude Market

https://github.com/user-attachments/assets/bc8eccbd-1f95-4d20-92f5-15d528b05d47

LessonFolk is a collection of open-source AI courses designed to be taught by an AI. Connect your AI chat (Claude Code, ChatGPT, Claude Desktop, Cursor…) to LessonFolk, say "let's start", and it guides you through lessons in a conversation: explaining, asking questions, adapting to your level, and saving your progress.

How it works

LessonFolk is a website and an MCP server (Model Context Protocol, a standard way for AI apps to use tools). Your AI chat connects to it: it gets the courses and the tutor's instructions, and saves your progress there. The website shows your courses, your path and your progress.

The tutor asks about your level and interests, recommends a path of courses, and teaches one short lesson at a time. Courses are grouped by theme: Understanding AI, Using AI tools, Building with AI and AI and society. The full list, in the recommended order, is courses/en/index.yaml, or ask your tutor "what can I learn?".

Coming soon: Projects. Real projects to practise what the courses teach: a subject, a few milestones to reach, and your tutor as a coach who gives hints instead of the solution. Some will close a course, others will stand alone.

Quick start

Pick one of two ways:

Hosted (lessonfolk.com): sign in with GitHub or Google, open its Connect page and add LessonFolk to your AI chat (in Claude Code, a plugin does it for you). Your progress is saved with your account.

Self-hosted: private, on your computer, no data sent to us. With Docker running:

git clone https://github.com/CGSeb/lessonfolk.git
cd lessonfolk
docker compose up -d --build

Open http://127.0.0.1:4321 to see the dashboard. Then start your AI chat in this folder:

  • Claude Code: run claude and approve the lessonfolk MCP server when asked.
  • Other apps: follow the dashboard's Connect page.

Then say:

Let's start learning AI.

The learner guide has the details.

Contribute

LessonFolk grows with its courses, and writing one needs no code. Open your AI agent in this folder and say "create a course about…": it interviews you, proposes an outline, writes the lessons with you and checks them. You are credited as the author on the dashboard.

  • Spotted a mistake in a lesson, or have a course idea? Open an issue.
  • Want to write or translate a course, or work on the code? Start with Contributing.
  • A question? Ask in Discussions.

Documentation

License

LessonFolk is developed by CG Seb.

  • Code (dashboard, tooling, tutor instructions): MIT
  • Course content (courses/): CC BY 4.0. You may share and adapt the courses, including commercially, as long as you give appropriate credit.

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.