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Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.
About
Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.
Remote endpoints: streamable-http: https://mcp.runitonai.com/mcp
Security Report
This is a well-architected MCP server with strong authentication and authorization controls. License key verification uses proper caching with Gumroad, rate limiting is implemented per-credential and per-IP, and sensitive credentials are handled appropriately. No malicious patterns, code injection vulnerabilities, or data exfiltration risks detected. Minor code quality observations exist but do not materially impact security. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity).
7 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
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.
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