> ## Documentation Index
> Fetch the complete documentation index at: https://docs.toorow.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> toorow — the sovereign MCP gateway for your marketing data.

toorow is a stack-agnostic MCP platform for unified marketing reporting. It implements the **Model Context Protocol (MCP)** so assistants like Claude can query your performance data — GA4, Search Console, Meta Ads, Shopify and more — in natural language, without burning tokens on raw JSON and without leaking one tenant's credentials into another's context.

## Two ways to run toorow

<CardGroup cols={2}>
  <Card title="toorow Cloud" icon="cloud" href="https://app.toorow.com">
    We host it for you. Connect your accounts and ask your data from your AI assistant — no infrastructure to run. Docs in this section grow as the product does.
  </Card>

  <Card title="Self-hosted" icon="server" href="/quickstart">
    Run your own instance on your own stack, extend it with your own connectors, and deploy it wherever you like. Start with the Quickstart.
  </Card>
</CardGroup>

## What it does

* **Multi-tenant identity & OAuth brokering.** Each user links their own accounts. Tokens are isolated per tenant, encrypted at rest, and refreshed automatically — every tool call is bound to the human who authorized it and recorded in an audit log.
* **Warehouse + semantic marts.** Raw data lands in BigQuery and is harmonized through dbt, so "cost" or "sessions" mean the same thing across every source.
* **Compact MCP responses + rich widgets.** The server returns a light textual summary to the model and streams the full dataset to a self-contained React widget — keeping large payloads out of the context window.
* **Governance & quality.** Connection health, sync performance and agent traffic are monitored; semantic quality monitors keep analyses on fresh, trustworthy data.