Conduct your Galaxy with a sentence.

mAesTRo is an MCP server for AVEVA System Platform. Connect it to Claude Desktop, Cursor, or any AI client that speaks the Model Context Protocol, and build, edit, audit, and deploy ArchestrA objects in plain English — without leaving the tools you already use.

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The problem

AVEVA System Platform was built for engineers. The tooling around it wasn't.

If you work in a Galaxy every day, you already know:

Repetitive object work eats your week.

Rolling out 200 templated instances, fixing UDAs across a hierarchy, normalizing scripts — click by click, host by host, hour by hour.

Change is invisible until something breaks.

There's no clean way to see what changed between Tuesday and Friday — let alone who did it, or why a deploy started failing.

Knowledge lives in three engineers' heads.

New hires learn the IDE the slow way. Tribal lookup tables and "ask Steve" don't scale — and they walk out the door with the senior who built them.

You don't need a new GUI. You need a faster way to run the platform you already trust.

Features

mAesTRo speaks Galaxy

Not a general-purpose chatbot pointed at a database. Every tool call maps to a real ArchestrA operation.

Natural-language Galaxy operations

Query objects, edit attributes, create instances, deploy templates in plain English. Tool calls execute against your live Galaxy through AVEVA's official COM interface (GRAccess) — no UI scraping, no screen automation.

Change management with snapshots

Capture Galaxy state before a change, run it, and diff the result. Roll back to any snapshot. Every change-managed operation is logged.

Graphic export and import

Export ArchestrA Toolbox graphics for diffing, editing, or external version control — and import them back into a Galaxy.

Bulk and batch operations

Apply the same change across hundreds of objects in one pass — UDAs, extensions, scripts, choice groups, linked symbols. What used to be an afternoon is now a sentence.

Fast search across the Galaxy

Find every object using a given UDA. List every script that mentions a tag. Ask "which objects still reference $LegacyMotor?" and get an answer in seconds.

Galaxy data never leaves your network

mAesTRo runs on your engineering host and binds to localhost. Your AI client decides which LLM provider receives context — and you control what context it sees.

How it works

From a sentence to a deployed change

You talk to your AI client

Describe what you want on your engineering host: "create 30 Pump instances from $Pump_Centrifugal under Area_05, set MotorHP to 25, and stage them for deployment."

mAesTRo plans and confirms

Your client translates intent into structured tool calls. mAesTRo previews exactly what's about to happen — objects, attributes, parents — and waits for your confirmation.

mAesTRo executes

Operations run through AVEVA's official COM interface (GRAccess) — the same path the IDE uses. Results stream back with object IDs, statuses, and any errors.

Everything is logged and reversible

Snapshots, diffs, and audit logs are captured automatically, so you can review, share, or undo any session.

Who it's for

Value at every level of the plant

System Platform engineers

Stop click-farming through the IDE

Bulk-edit attributes, refactor templates, validate UDAs across a hierarchy, or stage a coordinated deployment in plain English — with preview and snapshot-based rollback. Same COM surface as the IDE, so anything mAesTRo does, you could have done by hand. Minutes instead of days.

Engineering managers

Visibility and standards

See what your team is changing in the Galaxy, who changed it, and when. Every change-managed operation becomes a logged, diffable, reversible event — so code-review patterns finally apply to System Platform work. Onboard new engineers in days, not months.

Plant ops leadership

A safety net for change

Most unplanned downtime starts with a Galaxy change. Change-managed operations are snapshotted before they run, previewable before they apply, and logged with a human-readable diff. When something goes wrong, roll back with one command.

See it in action

Real situations, handled in minutes

Bulk per-instance updates

An asset spreadsheet lands on your desk — serial numbers, locations, and motor sizes for 400 pump instances, each row a unique value. Hand it to your AI client; mAesTRo maps rows to objects, previews the writes, and deploys. Hours of click-work done in minutes.

Find what changed

A script on your $TankLevel template started throwing errors after this week's changes, and nobody remembers what shifted. Ask mAesTRo for the diff between last week's snapshot and the current Galaxy, isolate the edit, review it, fix or revert.

Search the whole Galaxy

You need to retire the $LegacyMotor template but don't know which instances still derive from it. Ask mAesTRo. Get a clean list with parent paths and last-touched dates. Refactor with confidence instead of grep-and-prayer.

Roll back under pressure

It's 2 AM and a Galaxy change from last week is flooding the control room with alarms. Pull the snapshot, diff against current state, roll back with one command, restore stable operations. Every action is captured in the change log for the incident review.

Pricing

For individuals, teams, and air-gapped sites

Tiered plans at launch

mAesTRo will be available in tiers for individual engineers, engineering teams, and multi-site enterprises — including an offline-licensed option for air-gapped environments.

Final pricing and tier details will be shared with the waitlist before public launch.

Join the waitlist for pricing

FAQs

Questions, answered

Does mAesTRo send my Galaxy data to the cloud?+

No. The MCP server runs locally on your engineering host and only accepts connections from localhost. The only data that ever leaves your machine is what you choose to put into a chat message with your AI client — and you control which LLM provider receives it. Fully offline deployments are on the roadmap.

Which versions of AVEVA System Platform are supported?+

mAesTRo targets AVEVA System Platform 2023 and later. The full compatibility matrix and any prerequisites are shared as part of waitlist onboarding.

Which LLM providers can I use?+

Any client with Model Context Protocol support works — Claude Desktop, Cursor, Claude Code, and others. Bring your own API key, point at a private cloud deployment, or run a self-hosted model. The LLM never talks to your Galaxy directly; it only talks to mAesTRo through your client.

How does mAesTRo actually execute changes against the Galaxy?+

Through AVEVA's official COM interface, GRAccess. mAesTRo never scrapes the UI and never modifies the underlying database directly. It operates under your Galaxy account's existing permissions — if your account can't do something in the IDE, mAesTRo can't either.

What happens if a Galaxy operation fails midway?+

Change-managed sessions capture a snapshot before destructive actions and stream every command's result in real time. If something fails, you see exactly which object failed and why — and you can roll back to the snapshot with a single command.

How do I install mAesTRo?+

At launch, mAesTRo installs via a standard Windows installer that bundles the MCP server, the GRAccess runtime, and a registration helper that wires the server into your AI client of choice. No manual environment setup, no separate package installs.

Does mAesTRo work with redundant Galaxies?+

Yes. mAesTRo connects to a GR node the same way the IDE does, so any redundancy configuration that works for your normal engineering workflow works for mAesTRo. Failover follows the underlying System Platform configuration.

Is mAesTRo a replacement for the AVEVA IDE?+

No. Think of mAesTRo as a senior engineering assistant that sits next to the IDE. It handles the repetitive, bulk, and audit-heavy work so the IDE can stay focused on the deep configuration work that needs a human.

Can I try mAesTRo before launch?+

The waitlist is the front door to early-access pilots. We're onboarding a small number of teams to validate workflows in real production environments before broader release.

Ready to conduct your Galaxy?

mAesTRo is launching to the waitlist first. Sign up for early-access invites, pricing details, and pilot opportunities before public launch.

Join the waitlist