vantage · MCP Server

Vantage + Improvado MCP — Cloud Costs, Plain English Answers

Improvado's MCP server connects Vantage cloud cost data to Claude, Cursor, and any AI agent. Ask about spend by service, cost anomalies, savings recommendations, and budget variance without building custom dashboards.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Pull Cloud Spend and Cost Data Instantly

Ask your AI agent about AWS, GCP, or Azure spend breakdowns, trending services, and cost per team or workload — without opening Vantage dashboards or exporting CSV reports. The MCP server handles API calls and returns structured answers.

Example prompts

"What are our top 10 most expensive AWS services this month? Compare to last month."

20 min → 20 sec

"Show me cloud spend by team tag for Q1. Which teams are over their budget allocation?"

30 min → 25 sec

"Compare GCP vs. AWS spend trends over the last 6 months. Where is growth accelerating?"

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Update Budgets and Tag Resources Without Leaving Chat

Your AI agent can update budget alerts, adjust cost allocation tags, and create savings reports directly through the Vantage MCP connection. No context switching required.

Example prompts

"Set a budget alert for the data-engineering team at $50K/month in Vantage."

8 min → 15 sec

"Create a cost report for untagged resources across all AWS accounts."

20 min → 30 sec

"Update the allocation rule for the 'ml-training' tag to include the new GPU cluster."

15 min → 20 sec

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Catch Cost Anomalies Before They Become Budget Incidents

Set up spend watches on high-risk services and teams. Your AI agent monitors Vantage data continuously and surfaces cost spikes, budget overruns, and savings opportunities automatically.

Example prompts

"Alert me if daily spend on any AWS service increases more than 25% vs. the prior 7-day average."

Manual → auto

"Every Monday: send a cloud cost digest — top 5 services by spend, anomalies detected, savings available."

2 hrs → auto

"Flag any team budget that reaches 80% utilization before month end."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Cost Anomalies Are Found After the Invoice

The problem

Cloud cost spikes often go undetected for weeks because nobody is watching the right service at the right time. By the time the monthly invoice arrives, the spike has already happened and the budget conversation is reactive.

How MCP solves it

Improvado pulls Vantage cost data in near-real time. The AI agent monitors spend trends continuously and surfaces anomalies while there's still time to act — before the invoice closes.

Try asking

Which services had an unexpected cost spike in the last 48 hours?

Answer in seconds

All data sources, one query

Challenge 2

Untagged Resources Hide True Cost Ownership

The problem

Without consistent tagging, cloud cost reports can't accurately attribute spend to teams or workloads. Finance gets aggregate totals. Engineering gets no accountability. Nobody knows what's actually expensive.

How MCP solves it

Improvado identifies untagged resources in Vantage and surfaces them through the AI agent. Teams can see which resources lack ownership tags and take corrective action before the next billing cycle.

Try asking

What percentage of our monthly spend comes from untagged resources? Which accounts are worst?

Full detail preserved

No data loss on export

Challenge 3

Savings Recommendations Don't Connect to Workload Context

The problem

Vantage identifies reserved instance and savings plan opportunities, but acting on them requires cross-referencing with engineering roadmaps and forecasting future usage — context that lives outside the cost platform.

How MCP solves it

Improvado connects Vantage cost data with other operational data sources in the same MCP. The AI agent can combine savings opportunities with usage trends and engineering plans to prioritize the highest-impact actions.

Try asking

Which savings plan recommendations have the highest ROI based on our 90-day usage patterns?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does Vantage have an MCP server?

Vantage does not publish an official MCP server. Improvado provides a hosted MCP integration that connects Vantage cloud cost data — spend breakdowns, anomalies, budgets, and savings recommendations — to Claude, Cursor, and other AI tools.

Which cloud providers does the Vantage MCP integration support?

Vantage aggregates data from AWS, GCP, Azure, Datadog, Snowflake, and other cost sources. Improvado exposes all of this through the MCP server — so AI agents can query multi-cloud spend in a single request.

Can AI agents update budget alerts and allocation rules in Vantage?

Yes. The Vantage MCP integration supports read and write operations. AI agents can create cost reports, update budget thresholds, and modify allocation rules through the MCP connection — all through Improvado's hosted MCP server.

How does Improvado handle Vantage API access?

Improvado manages Vantage API authentication server-side. API tokens are stored in an encrypted vault — SOC 2 Type II certified — and never exposed to the AI model or passed through the conversation.

Can I combine Vantage cost data with other business data?

Yes. Improvado's MCP server connects 1,000+ platforms. Teams can combine Vantage cloud spend with product usage data, engineering metrics from GitHub or Jira, and revenue data — enabling cost-per-feature or cost-per-customer analysis.

How long does setup take?

For existing Improvado users, Vantage accounts can be connected in minutes. For Claude Desktop or Cursor, add one line to your MCP config. Full setup typically takes under 5 minutes.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms