Industrial environments are complex: multiple sites, thousands of devices, and countless data streams. Litmus MCP Server bridges AI models with Litmus Edge and other tools in real time, ensuring deployments don’t just work—but perform reliably everywhere across your entire operation.
Instant deployment
Deploy models, services, or containerized apps to Litmus Edge nodes in seconds. Stream live tag values or launch workloads instantly for real-time insights.
Unified management
Control devices and AI workflows from one place. Query live data, register new assets, or update connected devices—all through standardized MCP functions.
Secure & compliant
Enforce permissions, governance, and auditability by design. Built on official Litmus APIs, the server ensures safe, predictable AI interactions.
Scale confidently
Expand from one line to hundreds of facilities without losing consistency. Integrate with Grafana or dbt to deliver streamlined workflows.
Litmus MCP Server turns distributed AI into predictable, scalable, and auditable operations. With faster deployments, streamlined scaling, and built-in governance, you gain real-time visibility and reliable performance without the manual overhead.
Unify data from every site. MCP Server collects, standardizes, and contextualizes OT data, so AI models always work with accurate, ready-to-use inputs.
Keep models current everywhere. Run, update, and schedule AI models—custom or pre-built—at the edge or in the cloud with ease.
Cut manual setup and errors. AI-assisted configuration streamlines deployment and keeps multi-site operations consistent.
Turn data into action instantly. Feed AI-driven recommendations into dashboards, control systems, or automated processes for faster decisions.
