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Analyze Azure costs, detect waste, and surface budget insights in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Azure FinOps MCP Server" yet — see the docs or source repo.
Analyze the last 30 days of costs in my current Azure subscription. List the most expensive resource groups, services, and resources, and summarize the main cost drivers in descending order.
A ranked cost breakdown with key cost drivers and brief explanations to quickly identify major spend areas.
Audit my Azure environment for potentially wasteful spend, such as underutilized instances, unattached disks, and unused public IPs, and provide actionable optimization recommendations.
A list of waste items, estimated financial impact, and practical cost-saving recommendations.
Based on current Azure spending trends, assess whether this month is likely to exceed budget. If there are anomalies, identify the affected services, time periods, and likely causes.
Budget risk assessment, anomaly alerts, and cause analysis to support proactive intervention.
Analyze AWS cloud costs, detect waste, and surface budget insights naturally.
Parse multi-cloud IaC and generate real-time cost estimates and comparisons.
Analyze AWS cloud spending and quickly understand cost drivers and trends.
Analyze AWS cloud costs and Bedrock usage with natural language queries.
Analyze Azure Data Factory costs, detect waste, and recommend optimizations.
Analyze and optimize Azure infrastructure costs to improve cloud resource efficiency.