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MantrixFlow documents current self-serve ELT workflows in the app. PostgreSQL, MySQL, MongoDB, Airtable, Asana, Linear, Notion, GitHub, Zendesk, HubSpot, or Stripe source data flows through isolated staging and explicit SQL models into supported PostgreSQL, MySQL, MongoDB, or Airtable destinations. The current product uses a tabbed pipeline workspace. The former canvas and node editor has been removed. Old /builder links redirect to the corresponding tab in the pipeline workspace.

What is live

  • PostgreSQL and MySQL Available Now source and destination connections
  • MongoDB Available Now source and destination connections with encrypted URI setup, dynamic collection discovery, and key-required Upsert delivery
  • ClickHouse, DuckDB, and Airtable Available Now source and destination connections
  • Asana and Strapi Available Now source connections with documented scope and limitations
  • Linear Available Now source connections with team/project scope and eight supported resources
  • Notion source connections with shared data-source discovery and dlt-backed incremental sync
  • GitHub Available Now source connections for read-only, single-repository extraction
  • Zendesk Available Now source connections with read-only OAuth and 13 Support resources
  • HubSpot production source connections with ten supported streams
  • Stripe source connections with 34 supported streams
  • Pipeline creation from Data Pipelines
  • One pipeline workspace with Overview, Source, Transformations, Destinations, Runs, GitHub, and Settings tabs
  • Source stream selection, sync mode, cursor, fields, and preview in Source
  • Destination-owned SQL drafts, validation, preview, publishing, and revision history
  • Independent destination editors and published output assignments
  • Run all from the pipeline header and detailed execution history in Runs
  • Fixed-interval or UTC cron scheduling from Settings

What is not documented as live

  • The removed canvas or node-based pipeline editor
  • A separate Normalisation panel; rename and cast values in SQL transformations
  • Other non-live database and SaaS connectors
  • Log-based change capture
  • Automatic destination table creation by the delivery runner
  • Non-Upsert write modes
  • Public MCP or embedded-agent workflows
  1. Quick Start
  2. Core Concepts
  3. Connections Overview
  4. Pipelines Overview
  5. Postgres-to-Postgres Example
  6. PostgreSQL Incremental Sample
  7. Stripe-to-PostgreSQL Example
  8. HubSpot-to-PostgreSQL Example
  9. Airtable and MySQL Pipelines
  10. Asana to Supported Destinations
  11. Notion Source
  12. Linear Source
  13. Zendesk Source
  14. GitHub Source
  15. MongoDB and PostgreSQL Verified Paths