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Integrations

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Benchling And Amazon S3 With Quilt

App Canvas & Native AI Connector

Connect your Benchling ELN to Amazon S3 two ways: as a native Benchling AI Connector for instant large-dataset access within Benchling's AI tools, and the Quilt App Canvas for automatic notebook packaging, metadata sync, and bi-directional data browsing.

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Benchling Integration
AWS

New — April 2026

Quilt in the Benchling AI Connector Directory

Access large datasets stored in Amazon S3 directly from within Benchling notebooks and AI agents. Instrument outputs, pipeline results, and generated reports are available without touching the AWS console. Lineage is automatically tracked from instrument to scientist to filing.

Learn about the MCP Server →

Quilt App Canvas & Webhook

When scientists create notebook entries in Benchling, Quilt automatically creates a versioned package per entry, syncs metadata and attachments to S3, and makes everything searchable via ElasticSearch and Athena. The App Canvas lets scientists view and browse packages without leaving Benchling.

Read the App Canvas docs →
How Quilt Works With Benchling
AI Connector
AI Connector
Access large S3 datasets from within Benchling's AI tools via the native MCP connector — instrument outputs, pipeline results, and reports available without touching AWS.
Lineage
Lineage to Filing
Every dataset traceable from raw instrument output to pipeline result to analysis — lineage tracked automatically from bench to S3, with versioned history.
Auto-Package
Auto-Package
Each Benchling notebook entry automatically creates a dedicated, versioned Quilt package — experiment IDs, authors, timestamps, and attachments synced to Amazon S3.
App Canvas
Browse From Benchling
The Quilt App Canvas lets scientists view, browse, and sync packages directly within their Benchling notebook entries — no Quilt Catalog tab required.