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MCP server

Ask your IT in plain language

Connect the AI assistant you already use to Mugato and ask in plain language. Every answer comes from continuously collected meta-information about your environment, with full history since deployment, so you can see what changed, when and what it affected.

Works with the tools your team already uses

Why your AI needs Mugato

Your AI knows infrastructure.
Now it knows yours.

Generative AI assistants reason well about infrastructure in general. They can’t see yours. With Mugato, they can.
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Your agentic journey

Start where you are

Whatever stage you’re at, the hard part is the same: your AI needs a foundation it can trust. Mugato is that foundation, observed from how your IT actually runs and kept since the day it was deployed, so historical changes, trend patterns and before-and-after comparisons get richer the longer it runs. Start by asking questions. Put the useful ones on a schedule. Hand the proven ones to an agent when you’re ready. The facts underneath never change, and the sooner you start, the more your AI can tell you.

Query

Ask in plain language. Get an answer grounded in your actual environment. A security architect asks which certificates expire in the next 60 days and the answer names the application service behind each one, so the list arrives in the order the work should happen.

Intent-based MCP server

Expert answers from a one-line prompt

Most MCP servers simply point your AI at a database. Mugato's is intent-based, so it already knows the job. For every supported use case we loaded in why teams take it on, where it usually goes wrong, which views to open first and what order the answer belongs in. That's decades of enterprise IT experience, all at your fingertips.

Generic approach
You are an expert IT infrastructure migration planner. I will give you access to a database schema describing servers, processes, network connections and utilization readings. Before answering, read the schema carefully and identify the tables that describe observed connections between servers, then identify the tables that describe process-level observations, then identify the tables that describe resource utilization over time. Do not assume a table named “dependencies” exists. When grouping servers into application services, use observed communication frequency rather than naming conventions, because naming conventions in this environment are inconsistent. Treat a connection as significant only if it has been observed on at least 60% of days in the sampling window. Exclude backup traffic, monitoring traffic and domain controller traffic from the grouping logic, because every server talks to those and including them collapses the whole estate into one group. For each candidate application service, calculate a coupling score based on connection frequency and direction. Then sequence the services into migration waves such that no service is scheduled before a service it depends on, unless the dependency is one-directional and tolerant of latency. For each wave, report the services included, the total server count, the blockers, and any cross-wave coupling that would require a maintenance window. Where a service has a dependency on something outside the collected estate, flag it separately rather than silently excluding it. Present the output as an executive summary first, then the wave detail, then the remediation backlog. For the executive summary, limit it to 200 words and avoid technical identifiers. For the wave detail, include per-wave commentary explaining why the services were grouped. Also produce a target platform resizing recommendation based on the 95th percentile of observed load over the last three months rather than provisioned capacity, because provisioned capacity in this environment significantly overstates real usage.

Three to four pages of prompt engineering, written by an experienced engineer against the raw schema.

With Mugato
Make me a data center exit plan for our Copenhagen data center.
Used Mugato MCP server: application services, observed dependencies, utilization
Here’s the plan, sequenced so nothing moves before what it depends on.
Executive summary
Baseline
Wave sequence with per-wave commentary
Cross-wave coupling warnings
Target platform resizing
Remediation backlog
Runbook
Decision list
Copenhagen-data-center-exit-plan.pptx
PowerPoint presentation

One line, asked in the assistant your team already uses.

Personalized dashboards

The view your project actually needs

Out-of-the-box dashboards rarely fit the project in front of you, which is how teams end up pasting screenshots into a spreadsheet. Describe the view you want instead and your AI assistant builds it from Mugato’s facts.

Our experts can help you build and refine your personalized dashboards, so you get exactly the information you need from Mugato.

For a project

One data center, one program

Wave readiness, blockers and the services still missing an owner, scoped to the estate inside the project and nothing else.

For a role

What your week looks like

The handful of numbers a security architect, a migration lead or a service owner checks, in one place, in their own words.

For a routine

The same view, every morning

Pair it with a schedule and the view refreshes itself, then tells you when something in it changes.

The foundation for agentic AI

AI is only as good as its context

A person reading a 70% accurate CMDB spots what looks wrong and asks someone. An AI agent doesn’t. It acts on whatever it’s given at machine speed, so every gap becomes a decision made on bad information.

Mugato observes how your IT actually runs, through continuous agentless collection, so your assistants and agents work from measured context.

99%

“By 2028, 99% of I&O-led investment in agentic AI without system data and operating model improvements will fail to achieve sustainable ROI.”

Gartner, Hype Cycle for I&O Automation, 2026

Gartner named Mugato a Sample Vendor for Digital Platform Conductor (DPC) Tools in three 2026 Gartner® Hype Cycle™ reports, covering infrastructure platforms, I&O automation and observability.

Read the announcement →
Interactive demo

See a NIS2 audit answered in four questions

The evidence NIS2 asks for is already in your environment. Ask your assistant and Mugato supplies it: which services your critical ones depend on, where your traffic goes, which accounts still have reach and which firewall rules still matter. Then it all becomes one personalized dashboard.

What the demo shows

Four questions asked in plain language cover risk analysis, supply chain, access control and network security under NIS2. The answers name the eight business-critical services and the 153 they depend on, the 923 servers reaching outside the EU and EEA, accounts with decade-old passwords and 4,810 firewall rule groups unused for a year. A fifth step turns it into one dashboard for management.

“I could sit there typing whatever and I could get an answer that I could use operationally, either for a dashboard for management, to get a business case, or to try to drill down on a problem.”
Tech Lead, Infrastructure Transformation
Telecommunications
“Based on what we’ve just seen, this is absolutely superb. There are endless opportunities here.”
CISO
Energy technology

Frequently asked questions about the Mugato MCP server

What is the Mugato MCP server?

Do I need the Mugato platform?

Can the MCP server make changes in our infrastructure?

Where does it run, and does it store our meta-information?

Does Mugato use an LLM?

How do we control who can access it?

Do we need a separate security review?

Can we build our own personalized dashboards?

Which AI assistants work with Mugato?

Do I need to write complex prompts?

Will it increase our AI token bill?

Can I get alerts without asking every time?

How do we get started?

New to MCP?
Read more

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