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toorow is a self-hostable marketing data platform engineered for artificial intelligence agents. It leverages the Model Context Protocol (MCP) to grant agents governed access to unified marketing indicators without exposing raw credentials, provider APIs, or underlying database tables.

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High-Level Architecture

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Key Capabilities

  • 37+ Pre-Built Connectors: Metrics from GA4, Search Console, Meta Ads, TikTok Ads, LinkedIn Ads, Shopify, Stripe, and Klaviyo converge into a canonical semantic model built with dbt.
  • Audited & Traceable Analysis: Freshness, data provenance, quality checks (DQ baselines), and alerts accompany every metric served to AI agents.
  • Isolated Multi-Tenant Access: Inbound identity, provider OAuth scopes, and dataset access are strictly isolated per project (AD-5 resource graph).
  • Dual-Channel Response Model: Agents receive a short, contextual text summary while the accompanying MCP widget receives a rich, structured data payload (structuredContent) for rendering visual cards.
  • Extensible Module Architecture: Connectors are self-contained modules auto-discovered at boot, featuring manifests, staging SQL, dbt marts, and golden-pull conformance tests.

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Strategic Direction

toorow is designed as a sovereign control plane for agentic analytics rather than a basic connector catalog:
  1. Managed or external warehouse ingestion.
  2. Semantic governance and MDM dictionary enforcement.
  3. Mandatory data quality and lineage tracking.
  4. Shared business context and progressive disclosure.
  5. Post-click attribution without proprietary tracking pixels.
  6. Continuous evaluation loop for agent reliability.

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Explore the Documentation

Supported Connectors

Browse all 37 pre-built connector modules available in toorow.

MCP Host Integration

Connect Claude Desktop, Cursor, or custom AI agents via FastMCP HTTP.

FastMCP Agent Tools

Inspect FastMCP tool definitions and parameter schemas.

Quickstart Guide

Install and run toorow locally in under 5 minutes.