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





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.
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.
Scheduled monitoring
Run a query on a schedule. Get notified when the answer changes: a new risk surfaces, a certificate moves closer to expiry, a security agent stops running. Delivered wherever your team already gets notifications.
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.
Three to four pages of prompt engineering, written by an experienced engineer against the raw schema.
One line, asked in the assistant your team already uses.
“Make me a prioritized migration plan for application services in a specific data center.”
Dependencies and blockers resolved from observed behavior, not interviews or documentation.
“Help me decommission this application service.”
A step-by-step plan, including PowerPoint output, that surfaces hidden dependencies other services have on what you retire.
“Suggest servers with expensive licenses to reduce capacity.”
A ranked right-sizing list with aggregate savings estimates and a recommended sequence.
“How much of our infrastructure are we paying for and not using?”
Allocated cores and memory set against the 95th percentile of observed use. The gap is what you can hand back, measured rather than estimated.
“Which certificates expire in the next 60 days?”
Ranked by urgency and cross-referenced against business effect. Before the outage, not after.
“What are our top 20 riskiest service accounts?”
Ranked by risk and cross-referenced against regulated workloads.
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.
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.
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.
The same view, every morning
Pair it with a schedule and the view refreshes itself, then tells you when something in it changes.
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.
“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 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 →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.
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.
Frequently asked questions about the Mugato MCP server
What is the Mugato MCP server?
MCP, the Model Context Protocol, is the open standard that lets AI assistants pull facts from live sources. The Mugato MCP server connects AI assistants and agents to Mugato, the agentless IT discovery and service dependency mapping platform. When you ask a question about your infrastructure, the AI queries Mugato for continuously collected facts about your environment instead of relying on general knowledge.
Do I need the Mugato platform?
Yes. There are five ways to consume Mugato: the platform itself, direct queries into your own analytics stack, third-party integrations that keep your EA and ITSM tools current, generative AI and agentic AI. The last two are what the MCP server provides. All five read the same continuously collected meta-information and service dependencies, so the better your Mugato model, the better your AI's answers.
Can the MCP server make changes in our infrastructure?
No. It's read-only by design. It exposes meta-information for reading only and never changes a configuration, runs a command or takes an action. Deciding what to change, and making the change, stays with you and the platforms that manage it.
Where does it run, and does it store our meta-information?
It runs inside your own dedicated Mugato Azure backend, the same isolated environment that powers your portal, not a shared service. There's nothing to install and no new path into your network. The MCP server has no database of its own, so nothing is cached or copied. Each question queries your live backend and returns the answer to your AI assistant.
Does Mugato use an LLM?
No. There's no large language model anywhere in the Mugato platform, including the MCP server. The MCP server doesn't reason or generate text. Your AI assistant provides the language understanding. Mugato provides the facts.
How do we control who can access it?
Access runs through enterprise application registration and single sign-on in your own identity tenant, the same pattern already used for portal access, so conditional access and revocation stay with you. It also works behind your organization's MCP gateway.
Do we need a separate security review?
In most cases, approving Mugato covers the MCP server too. It adds no large language model, no third-party component and no new tool to the platform. It's the same collection engine and the same dedicated Azure backend you've already reviewed, exposed through a different interface. What's new is a one-time connection step: someone on your identity team completes the application registration and sets up single sign-on.
Can we build our own personalized dashboards?
Yes. Describe the view you want and your AI assistant builds it from Mugato's facts, scoped to a project, a role or a routine. Ask again when the question changes. Our experts can help you build and refine your personalized dashboards, so you get exactly the information you need from Mugato.
Which AI assistants work with Mugato?
Claude, ChatGPT, Microsoft Copilot, Gemini and any MCP-compatible client. You can also build agents on it in Copilot Studio, n8n or ServiceNow.
Do I need to write complex prompts?
No. For supported use cases the intent is pre-loaded, so a one-line question returns expert-level output. Outside those use cases your AI explores the underlying schema instead. The answers still come from your own environment and take more back and forth to get there.
Will it increase our AI token bill?
We expect it to reduce it for most infrastructure questions. Mugato returns meta-information that's already enriched, so your AI assistant has far less raw material to process before it answers.
Can I get alerts without asking every time?
Yes. Schedule a query and get notified when the answer changes, by email, Microsoft Teams, Slack or wherever else you want it delivered.
How do we get started?
The MCP server is available to every Mugato customer. Your customer success manager enables it for your environment, which typically takes minutes.
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Gartner, Hype Cycle for Infrastructure Platforms, 2026, Dennis Smith, 25 June 2026. Gartner, Hype Cycle for I&O Automation, 2026, Chris Saunderson, 8 July 2026. Gartner, Hype Cycle for Monitoring and Observability, 2026, Pankaj Prasad, Neil Young, 21 July 2026.
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