Run It on AI — the companion server, in full

MCP serverDev tools

This gives your AI read-only access to the Run It on AI book, so it can look things up without changing anything. Once added, your AI can find topics through the book's index and read its Implementation Blocks. The index and Implementation Blocks are free.

Use Run It on AI — the companion server, in full in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Run It on AI — the companion server, in full and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the activate tool from Run It on AI

Details

Available today. Use it from your connected AI after setup.

Add it, then ask your AI to look up a topic in the book's index or fetch an Implementation Block you want to use. The code is available in the structlabs-io repository on GitHub if you want to see how it works.

Run It on AI — the companion server, in fullStart free

What your AI can do with it

  • Look up topics in the Run It on AI book index
  • Read Implementation Blocks from the book
  • Pull up book content when you ask a question
  • Browse the book without changing anything

Install Run It on AI — the companion server, in full

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user run-it-on-ai-the-companion-serve 'https://mcp.runitonai.com/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.runitonai.com/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=run-it-on-ai-the-companion-serve&config=eyJ1cmwiOiJodHRwczovL21jcC5ydW5pdG9uYWkuY29tL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.runitonai.com/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add run-it-on-ai-the-companion-serve --url 'https://mcp.runitonai.com/mcp'

    Run it once, then sign in with codex mcp login run-it-on-ai-the-companion-serve if the server asks for an account.

From the project's README

As published by structlabs-io/runitonai-mcp in README.md.

This repository is the complete source code of the server that powers the Run It on AI reading companion at mcp.runitonai.com. If you bought the book and connected your AI to it, this is everything that runs on our side.

We publish it so you do not have to take our word for anything. The server is a few hundred lines of TypeScript. You (or your AI — paste any file into it and ask) can read exactly what it does and, just as importantly, what it cannot do.

The short version

What reaches our server when you use the companion:

  • The name of the tool your AI called (for example "fetch chapter 3").
  • The chapter or exercise it asked for.
  • Your access code — the license key printed on your Gumroad receipt.

What never reaches us, because there is no code here that could receive, store, or forward it:

  • Your conversations with your AI.
  • Your files, documents, or anything on your machine.
  • Your name.
  • Your email. Search this repository for an email field: there is none. No tool, no endpoint, no code path accepts one.
  • The picture your AI forms of you while you work. That stays inside your AI, on your side.

Who talks to whom: when you add the companion as a Claude connector, your machine never contacts our server directly — Anthropic's cloud brokers the connection. On ChatGPT, OpenAI's cloud does. We see tool calls, not you.

How access works

Your credential is the license key on your Gumroad receipt (a code like XXXXXXXX-XXXXXXXX-XXXXXXXX-XXXXXXXX). It identifies a purchase, not a person. The server checks it against Gumroad, caches a hash of it for a day, and rate-limits it. Refunded or disabled keys stop working. See src/license.ts — the whole mechanism is one file.

Only chapter text needs the key. The companion's operating instructions (activate) and every Implementation Block — the book's working exercises — are served without any credential at all; the exercises are also published right here in implementation-blocks/.

Connect it

Claude (web or desktop) — the easy path. Settings -> Connectors -> Add custom connector, then paste:

https://mcp.runitonai.com/mcp

Start a chat with: Activate Run It on AI — my access code is <your license key>.

ChatGPT. Use the "Run It on AI Companion" GPT (link in the book), or build your own: create a Custom GPT and import https://mcp.runitonai.com/openapi.yaml as an Action.

Claude Code (terminal users).

claude mcp add --transport http runitonai-book https://mcp.runitonai.com/mcp

Codex. In ~/.codex/config.toml:

[mcp_servers.runitonai_book]
url = "https://mcp.runitonai.com/mcp"

What is in this repo

PathWhat it is
src/worker.tsThe Cloudflare Worker: routing, transports, the Gumroad sync endpoint
src/license.tsLicense-key verification and caching (the access gate)
src/auth.tsVerification of legacy bearer tokens (nothing mints new ones)
src/rate_limit.tsPer-key rate limiting
src/mcp/MCP protocol plumbing (tool catalog, dispatch, transports)
src/tools/The tools your AI can call
openapi-v1.yamlThe same surface described for ChatGPT Actions
implementation-blocks/Every Implementation Block from the book, as readable markdown

Two data files ship as placeholders: src/data/chapters.json (the book's chapter text) and src/data/skill.json (the companion's operating instructions). Both are generated from the book manuscript at deploy time. The book's prose is the product, so it is not in the public repo — but the code that serves it is all here, and the Implementation Blocks (the working exercises) are published in full in implementation-blocks/.

Note for contributors: everything in this repo is generated from the private manuscript repo by a sync script, and a pre-commit hook there re-syncs it on every relevant change. The Implementation Blocks live in the book's manuscript; the copies here are build artifacts — never edit them here, they will be overwritten.

Run it yourself

npm install
npm run typecheck
npm run dev        # local server on localhost:8787

wrangler.toml ships with placeholder KV namespace ids; point them at your own Cloudflare account if you want to self-host the shell.

License

MIT — see LICENSE. The book itself (chapters, companion instructions) remains copyrighted content of StructLabs.io Pte Ltd and is not part of this repository.

Tools it offers (11)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • activate
  • list_book_index
  • lookup_chapter
  • get_implementation_block
  • find_section
  • find_playbook
  • get_playbook
  • report_telemetry
  • get_session_history
  • save_session_state
  • forget_session_history

Signals

Last commit
Jul 2026
Advanced
Delivery
runitonai-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-structlabs-io-runitonai-mcp
Source
github.com/structlabs-io/runitonai-mcp
Hosted endpoint
https://mcp.runitonai.com/mcp