Connectors bring your scientific data together, wherever you need it
Extend the reach of Benchling AI by connecting it to data sources and applications your team already uses. Access pre-built connectors so you spend less time on setup and more time on science.
Benchling AI Connectors
A catalog of ready-to-use connectors
The MCP (Model Context Protocol) Directory lets you browse and activate integrations from a growing list of scientific and enterprise applications. Admins can turn on connectors for their team without waiting for custom development work.
Give Benchling AI access to biomedical literature, instrument data, bioinformatics pipelines, and more to generate richer reports
Connect enterprise knowledge bases and productivity tools to give Benchling AI full context on your projects
Bring your own MCP server to integrate with any system in your stack
Work with everything in one place, without switching tools
Benchling AI can connect to MCP servers to pull external data directly into Benchling, so researchers can get the context they need without leaving their workflow.
Connect informatics pipelines so experimental decisions are informed by the latest data
Surface relevant research literature directly within a Benchling workflow
Search presentations and project summaries without leaving Benchling
Make Benchling AI available to other enterprise AI agents
With Benchling’s MCP Server your external AI tools — Claude, ChatGPT, or your own custom environment — can query Benchling data directly and get back structured, meaningful results.
Create presentations in your enterprise AI tool with summarized results pulled from Benchling AI
Add Benchling as a data source to internal AI agents without building a custom connector
Author reports through your existing AI applications that bring together Benchling data and other sources
Learn how labs are using Benchling AI
