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Runitonai

by io.github.StructLabs-io

Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Server URL
https://mcp.runitonai.com/mcp
Provider
Add in Claude

Claude opens with the name and URL filled in. You still confirm it there.

Claude Code
claude mcp add --transport http io.github.structlabs-io-runitonai-mcp https://mcp.runitonai.com/mcp

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "io.github.structlabs-io-runitonai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.runitonai.com/mcp"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

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Questions

How do I install Runitonai?
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Runitonai need an API key?
No required environment variable is listed on this record.
What transport does Runitonai use?
Runitonai is reached over HTTP.
When was Runitonai last checked?
Last checked 2026-10-16. Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.

Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.

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

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.

How do I install Runitonai?
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Runitonai need an API key?
No required environment variable is listed on this record.
What transport does Runitonai use?
Runitonai is reached over HTTP.
When was Runitonai last checked?
Last checked 2026-10-16. Read-only MCP connector serving the Run It on AI book; index and Implementation Blocks are free.

No tool list yet. Remote servers get one after the first health check.

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