Anthropic's Model Hardware Standard (MHS) gives AI agents a unified interface to physical devices like microscopes and robotic arms. Early tests in labs and on quantum computers cut integration time dramatically, though Claude still struggled with physical cause and effect.
Devices in research labs and factories often come from different manufacturers, use different APIs, data formats, and control software, and take serious effort to connect. Anthropic wants to tackle this with the Model Hardware Standard (MHS), a spec that lets AI agents read from and control physical hardware.
Anthropic says MHS cuts integration time for lab equipment from the typical weeks or months down to hours or minutes. The company developed the spec with the HHMI Janelia Research Campus and is releasing it first as a research preview for select labs and manufacturers, with an open-source release planned later.
One driver per device instead of custom integrations
The idea builds on a project Anthropic already shipped for software. The Model Context Protocol (MCP) gives AI models a standard way to access external data sources and tools. MHS extends that approach to machines.
