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Welcome to the toorow technical documentation. toorow is a sovereign marketing data platform engineered for artificial intelligence agents and platform engineers, utilizing the Model Context Protocol (MCP).

Product and AI agent documentation

Explore how toorow unifies marketing data, enforces semantic governance, and exposes governed FastMCP tools for AI agents.

Introduction

Product overview, key capabilities, and strategic direction.

Supported Connectors

Explore the 39 pre-built connectors (GA4, Meta, Shopify, Stripe, etc.).

MCP Host Integration

Connect an MCP host client over streamable HTTP.

FastMCP Agent Tools

The 131 declared tools, the three profiles that gate them, and the ones you reach first.

MCP App Use Cases

What an agent can actually do, with the tools and surfaces that exist.

Agent Context & Metadata

Dynamic schema discovery and business context event annotations.

Universal Datastreams

Ingestion pipelines across APIs, BigQuery, and managed feeds.

File-Source Ingestion

Ingesting media plans, audience panels, and TGI extracts.

Semantic Layer & Marts

Canonical daily fact surface (fact_daily_kpi) and dbt ratio views.

Anomaly Detection

Surveillance methodology, baseline stats, and z-score alert thresholds.

Agentic Daily Insights

The nightly run, the daily insight, and the context kept beside the numbers.

Agent Rules

Five rules for an agent, and what the platform guarantees in return.

Data Quality

The ten monitors that watch every ingestion, and what their findings mean.

Renders, Dossiers & Sharing

How an answer becomes a frozen figure, a document, and a revocable link.

REST API Reference

The REST surface behind the console: flows, context events, quality, organizations.

Changelog

What shipped, and when.

Self-hosted and infrastructure

Deploy and operate toorow on your own infrastructure or cloud environment.

Quickstart

Install and run toorow locally with uv and pnpm.

Prerequisites

Cloud accounts, GCP infrastructure, and local dev tooling.

Self-Hosting Guide

Production deployment steps and complete .env variable reference.

Cloud Hosting

Maintainers’ production GCP Cloud Run architecture and scale-to-zero settings.

Platform Constraints

Security checklists, zero-telemetry rules, and architectural invariants.

Adding a Connector

Scaffold a new connector: manifest, dbt staging, and the four conformance layers.

Repository Boundary

Public application projection vs. private workspace rules.