---
title: "MCP Infrastructure Context For AI Agents | Unolia"
description: "Give your agents the same project context your team uses: briefs, environment maps, costs, incidents and DNS audits through the Model Context Protocol, with credentials kept out of the prompt."
url: "https://unolia.com/use-cases/ai-agent-context"
locale: "en"
---

# Give your agents the same project context your team uses.

Structured project context for agents without direct provider logins.

Unolia gives AI agents structured infrastructure context through governed project data instead of raw provider credentials. The answers come from your projects, not from guesses.

## AI is only as good as what it can see.

Assistants do not lack intelligence. They lack your context. Three conversations changed once the agent could read the projects.

### The agent that never got the passwords.

The old way to make an AI useful was pasting credentials into a prompt and hoping. Here the agent connects to Unolia, not to your registrars and hosts. It sees the organized project view your team maintains, scoped by the permissions you choose, while the credentials stay where they belong.

### The answer that stopped being generic.

Ask a bare model why a client site is slow and you get a checklist from the internet. Ask an agent with Unolia behind it and the answer cites the 18:04 deploy, the provider status and the open issue, because it reads the same workspace your team uses.

### The fix that waited for a yes.

An agent found the duplicate SPF record that was killing deliverability, prepared the merge and showed the exact records it would keep and delete. Nothing moved until a human said yes. The fix took one conversation, and the activity log kept the receipt.

## The tools the agent calls.

Every answer on this page maps to a tool the agent calls by name.

### Project briefs

Agents retrieve structured project details, resources, monitors, repositories, deployments and open issues.

### Environment maps

The graph of domains, websites, servers and repositories becomes context an agent can reason about.

### Cost and waste reports

Agents surface project costs, unallocated spend, paused providers still billing and upcoming renewals.

### Incident explanation

Agents correlate failing monitors, recent deployments, provider health and open issues, for human review.

### Previewed actions

Reading is the default. Actions sit behind separate permissions and preview what they would do before anything runs.

## What changes with Unolia

| Before | After |
| --- | --- |
| A login for every provider, and still no project context. | An agent queries Unolia for scoped project context built from provider data. |
| Generic answers, because the AI can't see the full picture. | Specific answers, pulled from the same workspace your team uses. |
| Every AI conversation starts from zero context. | Every conversation starts from the same source of truth as the team. |

## Give agents context before you give them power.

The workspace your team builds is the context your agents read. Start with the source of truth, and the day you try agents, it is already there.

[Join the waitlist](https://app.unolia.com/register)