EPICS

Provides direct access to EPICS Process Variables for monitoring and controlling scientific facilities, industrial automation, and laboratory equipment through get, set, and metadata retrieval operations with comprehensive error handling for network timeouts and connection issues.

EPICS MCP server that provides AI assistants with direct access to EPICS (Experimental Physics and Industrial Control System) Process Variables through the PyEPICS library, supporting both stdio and SSE transport protocols. The implementation offers three core tools for getting PV values, setting PV values, and retrieving PV metadata, with comprehensive error handling for network timeouts and connection issues. Built with Docker support and Smithery configuration, it enables AI-assisted control system monitoring and automation workflows for scientific facilities, industrial automation, and laboratory equipment management where conversational interfaces need programmatic access to EPICS-controlled devices and sensors.