"AWS Cost and Usage Analysis with Cost Optimization Recommendations" matching MCP servers:

Enables querying AWS Cost and Usage Report data via Amazon Athena for cost-effective and detailed cost analysis.

Enables scanning AWS accounts for cost optimization opportunities by reading resource configurations and pricing data, without making any modifications.

AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service/account/tag, pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. Curated by Archimedes Market with a verified Trust Report.

Read-only AWS cost diagnostic server that enables AI agents to detect idle resources and orphaned assets, surfacing potential savings via boto3 describe calls.

Enables building AWS cost estimates from natural language requests and generating formatted Excel reports with real pricing, INR conversion, and best practices.

A command-line interface and API that allows users to analyze and visualize AWS cloud spending data by enabling Claude to query AWS Cost Explorer through natural language conversations.

Analyzes AWS Athena query costs by comparing baseline vs spike periods, querying PostgreSQL, and extracting patterns from expensive queries.

Plan AWS disaster recovery budgets conversationally, comparing backup/restore, pilot light, warm standby, and active/active strategies using live Cost Explorer data.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

Enables analysis of AWS costs and usage through the AWS Cost Explorer API, supporting multi-account architectures with role assumption and cost comparison, forecasting, and anomaly detection.

An MCP server that gives Claude live access to Azure pricing and cost data — retail prices, VM comparisons, reservation analysis, architecture estimates, and actual subscription spend.

A comprehensive Model Context Protocol server that analyzes AWS costs and provides optimization recommendations by integrating with services like Cost Explorer, Cost Optimization Hub, and Trusted Advisor.

Lets AI agents estimate the cost and result size of BigQuery and Snowflake queries before they run, then execute them only within per-call byte, row, and dollar bounds. Estimates are labeled with an accuracy tier so agents never over-trust an approximate figure.

Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.

Multi-cloud pricing comparison MCP server that enables natural language queries to compare compute, storage, egress, and Kubernetes costs across AWS, Azure, GCP, and OCI.

Enables AI assistants to query and analyze AWS costs and usage via the Cost Explorer API.

Enables analyzing AWS cloud spending and Bedrock usage through natural language queries using Claude.

Enables AI assistants to analyze Azure Data Factory costs, detect waste, and provide optimization recommendations by querying pipeline run metadata and Azure pricing.

Enables users to analyze AWS costs, track spending trends, and detect anomalies directly within Claude Desktop using the AWS Cost Explorer API. It provides tools to identify major cost drivers and compare usage across different time periods through natural language queries.

Enables querying and analyzing AWS cost and usage data through the AWS Cost Explorer API. Supports cost comparisons, forecasting, dimension filtering, and cost change driver analysis with streamable HTTP deployment to Amazon Bedrock Agentcore Runtime.