Building MCP Servers for Scientific Instruments

Laboratory instruments are some of the most sophisticated hardware on the planet. A modern liquid handler can dispense volumes down to nanoliters with sub-percent precision. A mass spectrometer can identify molecules in a mixture at parts-per-billion concentrations. Yet the software controlling these instruments often looks like it was designed in 2005 - because it was. Meanwhile, AI agents are connecting to databases, APIs, and cloud services through increasingly standardized protocols. The Model Context Protocol (MCP) - originally released by Anthropic for connecting AI assistants to tools - is rapidly becoming the standard for agent-to-tool integration. We asked a simple question: what if we connected AI agents to physical lab instruments the same way? This article explains how we did it, what we learned, and why it matters for the future of laboratory automation. Lab Instrument Software Is Stuck If you work in a lab, you know the pain. Every instrument ships with its own desktop ap