Litmus Edge

This MCP server provides integration with Litmus Edge for industrial IoT device configuration, monitoring, and management, enabling AI assistants to interact with DeviceHub devices, retrieve real-time tag values, manage Docker containers, and configure system settings. Built by Litmus Automation using Python with FastMCP and featuring both stdio and HTTP transport modes, it offers tools for listing supported drivers, creating and managing DeviceHub devices with various protocols, subscribing to NATS topics for real-time data streaming, managing Docker containers through the Litmus Edge Marketplace, and configuring system properties like friendly names and cloud activation status. The implementation includes a web client interface with streaming support for real-time responses, environment variable management, conversation history tracking, and support for both Anthropic and OpenAI models, making it valuable for industrial automation workflows, IoT device management, real-time monitoring dashboards, and any use case requiring programmatic access to Litmus Edge infrastructure for industrial data collection and device orchestration.