AI Assistant via MCP Enterprise

Talk to your cloud costs.

CloudOptify speaks the Model Context Protocol (MCP), so your AI assistant can answer cost questions straight from your live data — team spend, findings, forecasts — governed by the same access rules as the portal.

AI assistant

connected to CloudOptify via MCP

live

What did the Machine Learning & AI team cost this period?

Machine Learning & AI spent €4,556 this period — 24% of your total cloud spend. Azure €3,210 AWS €1,346

Where can that team save?

I found 12 active findings worth about €1,120/mo — mostly idle compute and orphaned disks. Want the list?

Illustrative conversation — answers come from your own data.

Plain-language answers

“What did the ML team cost this month?” — answered from your real numbers.

MCP standard

Works with MCP-compatible AI assistants out of the box.

Flexible authentication

Connect with scoped API tokens, or let assistants sign in on a user’s behalf via OAuth 2.0 (authorization code + PKCE) with automatic client registration.

Same governance

Read-only by default, scoped by the same roles and tokens as everything else.

Beyond questions

Ask. Then act.

Grant your assistant the right privileges and it goes beyond answering — it manages your FinOps workflow on command. Each token carries explicit scopes, so you decide exactly how far it can go.

read “Compare this month’s spend to last month and explain the biggest changes.”

write “Create a budget alert for Platform Engineering — warn at 80% of €5,000 per month.”

write “Set up a weekly cost report for the Data & Analytics group and send it to finance.”

write “Acknowledge the low-severity findings we reviewed today.”

run “Run a fresh scan and summarize anything new it finds.”

read answers questions · write manages groups, alerts & reports · run triggers scans — granted per token, revocable anytime.

Related features

See it on your numbers.

Early access — a new platform, onboarding teams now.

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