INTELECY INDUSTRIAL MCP SERVER

AI Assistant Enabler

Where industrial AI meets your AI assistant

Bring your plant information and Intelecy's intelligent insights into one conversation with the AI assistant your team already uses, like Claude, ChatGPT, or Microsoft Copilot. Ask a question and get the answer, the root cause, and the next step in one conversation.

Your historian, your models, your documents each hold a piece of the answer. The Intelecy Industrial MCP Server brings them together so your assistant can reason across all of it and tell you what to do, not just what the numbers say.

The AI assistant becomes the conversational interface. Intelecy provides the industrial intelligence behind it: live process data, asset context, process history, and insights from validated Industrial AI models.

MCP-light-hero

What it unlocks

Answers in minutes, not meetings

Add the Intelecy MCP Server plugin to Claude, ChatGPT, or Microsoft Copilot.
 

Ask in natural language

 Your models, anomalies, and process data, reachable in plain language. No clicking through screens. 

It reasons, not just retrieves

The assistant connects your call, your P&ID, and predictions from models, then recommends the next step. 

From a site call to a plan, without the follow-up meeting

What used to take a week of back-and-forth takes one conversation.
AI assistant chat

Works with the AI Assistant you already use

No new tool to learn, no rip-and-replace. Connect once and your team works where they already are. 
claude-logo-png_seeklogo-554540
chatgpt-logo-png_seeklogo-503286
microsoft-copilot-logo-png_seeklogo-619562

Find the cause, faster

When something drifts, the assistant investigates the anomaly and traces the likely root cause across the related tags and models, then suggests where to look next. 

The anomalies are detected by your live Intelecy ML models and pulled directly into the conversation, so the assistant is already working with the right data. 

flow-find-the-cause
flow-ask-across

Ask across everything at once

Your meeting notes, P&IDs, and SOPs live alongside the live models and process data inside Intelecy, reasoned over together in a single question. 

No switching between systems. No one person holds all the context. Everyone on the team can ask the same question and get the same answer, regardless of when their shift started. 

Build it by describing it

Create new ML models, dashboards, and trend views in Intelecy straight from the conversation, with no screen-by-screen setup. 

The AI model is created and trained directly in the Intelecy Industrial AI platform, and is ready to use as soon as training is complete.

 

flow-build
flow-stays

Everything stays in Intelecy

What the assistant builds becomes part of your platform for the whole team, ready for the next question. 

Models and dashboards created through the assistant live in Intelecy like anything else you build there. 

Up and running in minutes

Connect once

Add the Intelecy MCP server plugin to Claude, ChatGPT, or Microsoft Copilot. 

Use your own login

Access mirrors what you already have in Intelecy.  

Start asking

No setup project, no new dashboards to build first. 

Can't I just point an AI assistant at my own data lake?
You can, and it gets thousands of unlabeled tags without further insights. A data lake holds the data; it doesn't hold the understanding. Intelecy gives the assistant predictions from the AI models, anomalies, and cause-and-effect relations already built on that data. The answers are operational, not just descriptive.
Is my data used to train AI models?
Intelecy trains AI models on your process data, that is core to what the product does. What the MCP Server does not do is send that data to external AI providers for training. On paid tiers of Claude, ChatGPT, and Microsoft Copilot, your data is not used to train their models. You stay in control of what goes where. 
Which AI assistants are supported?
Claude, ChatGPT, and Microsoft Copilot. Claude renders interactive charts inline; the others vary in how richly they display results. 
What can it actually do?
Explore process data, investigate anomalies and root causes, analyze and improve models, create new models and dashboards, and reason over all of it together with your other context. 
How is access controlled?
Through your existing Intelecy account and permissions. The assistant can see and do only what you can.

See it on your plant