io.github.StructLabs-io/runitonai-mcp
Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http runitonai-mcp 'https://mcp.runitonai.com/mcp'
{
"mcpServers": {
"runitonai-mcp": {
"type": "http",
"url": "https://mcp.runitonai.com/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
Run It on AI — the companion server, in full
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.
Questions fréquentes
Qu'est-ce que io.github.StructLabs-io/runitonai-mcp ?
Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.
Comment installer io.github.StructLabs-io/runitonai-mcp ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http runitonai-mcp 'https://mcp.runitonai.com/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.StructLabs-io/runitonai-mcp ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.StructLabs-io/runitonai-mcp est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient io.github.StructLabs-io/runitonai-mcp ?
Il est publié par StructLabs-io. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.