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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).

๐Ÿ“š Product & 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 37 pre-built connector modules (GA4, Meta, Shopify, Stripe, etc.).

MCP Host Integration

Connect external LLM host clients (Claude Desktop, Cursor, Antigravity).

FastMCP Agent Tools

Exhaustive API reference for FastMCP data tools exposed to AI agents.

MCP App Use Cases

Interactive workflows rendering embedded React/TypeScript UI widgets.

Agent Context & Metadata

Dynamic schema discovery and business context event annotations.

Universal Datastreams

Real-data 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

Automated morning briefings and narrative insights synthesis.

Agent Rules

System instructions and behavioral invariants for LLMs.

๐Ÿ› ๏ธ Self-Hosted & Infrastructure (Tab: Self-Hosted)

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

Quickstart

Install and run toorow locally in under 5 minutes.

Prerequisites

Cloud accounts, GCP infrastructure, and local dev tooling.

Self-Hosting Guide

Production deployment steps and complete .env variable reference.

Cloud Hosting

Maintainersโ€™ 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 module with step-by-step Mailgun walkthrough.

Repository Boundary

Public application projection vs. private workspace rules.