Agentic CMMS

Litmus Edge MCP server

Connect Litmus Edge to Claude, ChatGPT and your other AI agents.

Connect Litmus Edge to Claude, ChatGPT and other AI agents. Ask about devices, tags, OEE and machine states from the edge, in plain language.

Litmus Edge is an industrial edge platform that connects to PLCs, CNC machines and sensors on the plant floor. It reads data through a large library of drivers, turns it into consistent tags, runs analytics close to the machines and passes the results on to other systems. Manufacturers use it to get data out of mixed fleets of older and newer machines. The data is collected and tidy, but a maintenance lead who wants to know why a machine keeps stopping still needs someone to build a dashboard first.

Agentic CMMS connects Litmus Edge to Claude, ChatGPT and other AI agents. The people who look after the machines ask their questions directly, and the agent reads the devices, tags and KPIs that Litmus Edge already holds.

What your AI agent can do with Litmus Edge

  • List connected devices. "Which devices on the edge are disconnected right now?" The agent checks device status and lists the ones that need a look.
  • Read machine tags. "What are spindle load and coolant temperature on CNC-31 at the moment?"
  • Explain stops. "How many times did Press 6 stop on the night shift, and for how long each time?"
  • Track OEE. "Which line had the lowest OEE yesterday, and was it availability, performance or quality?"
  • Count cycles. "How many cycles has the robot cell at station 4 done since Monday?"
  • Compare similar machines. "Rank the five lathes by average spindle load this week."
  • Check an asset model. "Which tags belong to the Filler asset, and what does each one measure?"

Litmus Edge with your other systems

Edge data shows the symptom. Your maintenance and production systems hold the plan and the cost. One question can use all of them:

  • Turn repeated stops on a machine into a work order in MaintainX, with every stop time and duration listed.
  • Use cycle counts from Litmus Edge to plan usage-based service in UpKeep instead of fixed calendar dates.
  • Set lost production on a line against the open production orders in Plex or Epicor Kinetic to see which customer orders are at risk.
  • Compare edge data from one plant with SCADA data from Ignition by Inductive Automation at another, so group engineering sees both.

For plants with mixed machine fleets

Most factories run machines from many decades and many makers, each speaking its own protocol. Litmus Edge brings them under one data model. The agent turns that model into answers anyone on the floor can use, from the shift lead to the reliability engineer, without learning a new screen.

Each person approves their own agent with their own login. Owners and admins pick which roles may use each Litmus Edge tool, and the activity log keeps a tamper-evident record of every request.

How it works

Live in minutes, not months

No integration project. Connect your system once, and everyone on your team brings their own agent.

  1. 1

    Connect your systems

    Add your CMMS, ERP, accounting and other systems with their API keys. We check each one against the live system before anything is saved.

  2. 2

    Approve your agent

    Each person adds the MCP address to Claude, ChatGPT or another agent and approves it with their own login. Read-only or read and write: their call.

  3. 3

    Ask in plain language

    “What’s overdue on Line 3, and what will it cost?” The agent works across your systems for you, and every action is on the record.

FAQ

Litmus Edge and AI agents: questions, answered

What plant data can an AI agent get from Litmus Edge?

The devices and tags Litmus Edge collects from your PLCs and machines, their latest and recent values, and the KPIs such as OEE that your team set up on the edge.

Can ChatGPT tell which machine on the line is down?

Yes. The agent reads the machine state tags you collect and tells you which assets are stopped, since when, and what state they were in before.

Can the agent explain why OEE dropped on a shift?

It reads availability, performance and quality for the shift and the machine states behind them, so it can show which part of OEE fell and which stops caused it.

Get started

See it working on your own systems

Tell us about your team and the systems you run. We’ll get you set up.

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