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mcp-rdcopilot-niagara

Agentic modules

Operate a Niagara installation in natural language.

Engineering: building the station and replicating a validated set on the next sites.

mcp-rdcopilot-niagara — At a glance
The problem it solves

Taking over a site starts with reading someone else's work; querying a portfolio requires knowing the tree and where each history lives; and commissioning goes screen by screen, from an engineering workstation.

The work it does for you

This module opens a Niagara station to a conversational assistant installed on the user's workstation. It speaks MCP (Model Context Protocol), the standard socket through which an assistant connects to a line-of-business application: you do not program the assistant, you plug it in. You write your request in natural language; the assistant walks the station — tree, points, histories, alarms, field buses — and answers from that specific installation. Changes go through an identified operator's account and are traced in the station's audit log.

Benefits for you
  • Understand an installation you did not build.
  • Ask the question instead of hunting for the view.
  • Produce the station, not merely read it: points, logic, links, naming.
  • Shorten commissioning: discovering and integrating a field bus takes one sentence.
  • Keep control over what writes: identified operator, traced actions.
Use cases
  • Engineering: building the station and replicating a validated set on the next sites.
  • Taking over operations: describing an unknown site, listing inventory and gaps.
  • Acceptance: checking across a whole portfolio what should have been installed.
  • Remote support: diagnosing with no site visit and no engineering workstation.
  • Energy monitoring: querying histories without exporting them.
Platform

Niagara ≥ 4.13.x, Python ≥ 3.10

Version

0.60.2

Price

on request

Module family

Operate an installation in natural language

See the rangemcp-rdcopilot-skyspark

You understand an agent by watching it work

We give that demo live.