head lesson

CLI · MCP · API

Choosing tools for AI, from recorded trials.

A catalog for finding tools you can use from the CLI, MCP and APIs, by use case and by comparison axes. Where we have tried a tool’s steps ourselves, there is a record with the version and the date we tried.

Each record is an observation on one machine with one version. Values we could not confirm stay unknown. Listed information is not a guarantee of actual behavior or safety.

How it works

Your AI reads the records, then you choose

  1. 01

    Search by task

    Your AI uses headlesson_search to find candidates by the task you want to do, a product name or a comparison axis.

  2. 02

    Read the record

    With headlesson_get, it reads the steps, cautions and sources, along with the version and date of the trial.

  3. 03

    Check it yourself

    A record is an observation on one of our machines. Before you use a tool, check it in your own environment too.

Features

Read the differences before you choose

Guides to choosing between tools, written from the results and cautions of recorded trials.

Use it over MCP

MCP tools

  • headlesson_search: searches and compares by use case, product name or axis.
  • headlesson_get: gets the description, entry points, steps, cautions and sources for an ID.
  • headlesson_whats_new: shows changes since a given date and the related features.
  • headlesson_feedback: sends feedback about the catalog to the operator.

From a shell, npx headlesson reads the same records.

Contact from an LLM: headlesson_feedback over MCP. The official public contact for people is Threads @head.lesson.

MCP endpoint

https://mcp.headlesson.com/mcp

You can select and copy it. The connection guide explains how to set it up.

Read the connection guide

headless on!

Read the records. Then try it with your AI.