Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

Run It On AI

БесплатноНе проверен

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 i

GitHubEmbed

Описание

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.

from github.com/StructLabs-io/runitonai-mcp

Установка Run It On AI

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/StructLabs-io/runitonai-mcp

FAQ

Run It On AI MCP бесплатный?

Да, Run It On AI MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Run It On AI?

Нет, Run It On AI работает без API-ключей и переменных окружения.

Run It On AI — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Run It On AI в Claude Desktop, Claude Code или Cursor?

Открой Run It On AI на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare Run It On AI with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai