Run It On AI
FreeNot checkedRead-only MCP connector that serves the Run It on AI book. The index and Implementation Blocks are free; full chapters and playbooks unlock with a license key i
About
Read-only MCP connector that serves the Run It on AI book. The index and Implementation Blocks are free; full chapters and playbooks unlock with a license key included with the book.
README
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
| Path | What it is |
|---|---|
src/worker.ts |
The Cloudflare Worker: routing, transports, the Gumroad sync endpoint |
src/license.ts |
License-key verification and caching (the access gate) |
src/auth.ts |
Verification of legacy bearer tokens (nothing mints new ones) |
src/rate_limit.ts |
Per-key rate limiting |
src/mcp/ |
MCP protocol plumbing (tool catalog, dispatch, transports) |
src/tools/ |
The tools your AI can call |
openapi-v1.yaml |
The 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.
Installing Run It On AI
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/StructLabs-io/runitonai-mcpFAQ
Is Run It On AI MCP free?
Yes, Run It On AI MCP is free — one-click install via Unyly at no cost.
Does Run It On AI need an API key?
No, Run It On AI runs without API keys or environment variables.
Is Run It On AI hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Run It On AI in Claude Desktop, Claude Code or Cursor?
Open Run It On AI on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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