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Parse multi-cloud IaC and generate real-time cost estimates and comparisons.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CloudCost MCP Server" yet — see the docs or source repo.
Parse this Terraform configuration, identify the AWS, Azure, and GCP resources used, and generate a monthly cost estimate based on real-time pricing, grouped by cloud provider and resource type.
A cost estimate report broken down by cloud provider, resource type, and monthly total.
Using this infrastructure definition, compare the estimated cost of running the same workload on AWS, Azure, and GCP, and identify the cheapest option and the main sources of price differences.
A multi-cloud pricing comparison table with a recommended option and difference analysis.
Review this infrastructure-as-code file, identify resource configurations that may lead to excessive costs, provide optimization suggestions using real-time pricing, and estimate potential savings.
A cost risk list including expensive items, optimization suggestions, and estimated savings.
Analyze AWS cloud spending and quickly understand cost drivers and trends.
Manage Azure infrastructure and cloud resources using natural language commands.
Build, debug, and manage software tasks with natural language across LLMs.
Query normalized usage, cost, and dashboard data across OpenAI and Anthropic.
Analyze AWS cloud costs and Bedrock usage with natural language queries.
Track expenses, manage budgets, and generate personal spending insights.