
Vishvesh Shah
Director of Product Management
The integration of edge computing with digital twins can help address challenges faced by manufacturers. It can reduce response time, optimize data, improve security, and lower risk.
Your IIoT data is powerful—if you can unlock it. See how the Litmus MCP Server connects siloed systems to GenAI for smarter automation and faster decisions.
MCP (Model Context Protocol) is an open standard that connects AI systems to external tools and data sources in a consistent way. In this setup:
Hosts (like IDEs) initiate requests
Clients send those requests
Servers respond with available capabilities
MCP helps developers build seamless workflows that connect GenAI models with services like file systems, telemetry tools, and more. With support from industry leaders like Anthropic, Google, and Microsoft, MCP is quickly becoming a foundational layer for secure, extensible AI applications.
The Litmus MCP Server is an official server implementation from Litmus Automation. It’s a secure, real-time bridge between large language models (LLMs) and industrial systems like Litmus Edge and external or local systems like GenAI development environments, visualization tools, and analytics platforms.
Built using the official Litmus APIs and SDK, the server offers strong security, native performance, and reliable integration. It’s listed in the official MCP server registry and available on platforms like Glama and MCP.so.
Curious how this could work in your environment? Book a demo and see the Litmus MCP Server in action.
Standards Compliant: Fully compliant with the Model Context Protocol
Native SDK Integration: Built directly on Litmus APIs and SDK
Modular Design: Customizable for different industrial needs
Developer-Friendly: Works out of the box with tools like Cursor IDE
Litmus MCP Server includes high-level functions for managing edge-connected devices. For example:
get_current_value_of_devicehub_tag retrieves live tag values from devices, enabling real-time monitoring
create_devicehub_device registers new DeviceHub-connected assets using various industrial protocols and templates
get_multiple_values_from_topic supports data retrieval for time-series analysis or plotting
run_docker_container_on_litmusedge deploys containerized applications directly to Litmus Edge nodes
These features simplify complex automation tasks across industrial environments.
The Litmus MCP Server streams real-time machine data (like temperature or state) from Litmus Edge to dashboards built with Grafana. An LLM can interpret this data before it’s visualized—highlighting anomalies, labeling trends, or flagging outliers.
Benefits:
Engineers gain immediate insight into operations
Trends and outliers can be flagged contextually
Live data supports faster decisions and automated alerts
Want to build dashboards like these? Schedule a personalized walkthrough with our team.
Raw industrial telemetry can be turned into clean, structured data models. The Litmus MCP Server supplies real-time sensor and equipment data, which is then ingested by the dbt MCP Servier for cleansing and modeling. An LLM can help summarize logs, identify gaps, or label data before it's processed.
Benefits:
Cleaner data for downstream analytics
Transformation rules can be guided by insights from LLMs
Streamlined ETL for industrial systems
Cursor IDE Integration
Developers can interact with Litmus Edge directly from Cursor IDE using the MCP protocol. Run queries, change settings, and stream data—all within the editor. Setup is simple: point Cursor to the MCP Server URL using a local mcp.json file.
The Litmus MCP Server works with other MCP-compliant servers. It’s listed on the official MCP github registry and is compatible with other cross-functional workflows. For example:
Pair with a Mailgun MCP Server to send notifications based on Litmus triggers
Combine with a Memory MCP Server to log operational history for future LLM analysis
It’s part of a growing ecosystem for cross-functional, agentic AI workflows.
The Litmus MCP Server is open-source and available everywhere. It can be deployed via Docker and is compatible with Claude Desktop, VS Code, Cursor, and others using the MCP SSE protocol.
Find it here:
The Litmus MCP Server bridges industrial edge platforms with modern AI, analytics, and developer tools. With real-time data access, streamlined device control, and support for GenAI workflows, it enables faster, smarter industrial automation. Built to evolve as AI and edge computing advance.
Ready to see it in action? Get started with a Litmus demo and explore how the MCP server can power your next-gen industrial workflows.
Vishvesh Shah
Director of Product Management
Vishvesh Shah heads the Research and Development efforts at Litmus.
Vishvesh Shah
Director of Product Management
The integration of edge computing with digital twins can help address challenges faced by manufacturers. It can reduce response time, optimize data, improve security, and lower risk.
Vishvesh Shah
Director of Product Management
Achieve seamless and secure remote software management for IIoT devices. Learn how Litmus Edge Manager simplifies OTA updates for IIoT devices with secure, centralized, and automated software distribution.
Suranjeeta Choudhury
Director Product Marketing and Industry Relations
Today, we're thrilled to announce several significant updates to our Litmus Edge platform, designed to further empower your operations to scale like never before.