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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.
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.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
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.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
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.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
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.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
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.
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.
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.
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.
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.
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.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
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.
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.
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.
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.
Yes. Improvado's MCP server connects 500+ 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.
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.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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