"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

Enables read-only AWS FinOps scans for hidden costs such as NAT Gateway endpoint traffic, infinite log retention, gp2/orphaned EBS volumes, idle Elastic IPs, and stale snapshots, with USD/month estimates and Terraform or CloudFormation remediation patch generation.

Enables MCP clients to query AWS Billing and Cost Management data via local AWS CLI, including cost usage, forecasts, anomalies, budgets, and commitment utilization for analysis.

Build shareable AWS Pricing Calculator estimates programmatically via MCP tools, designed for creating MAP funding estimates from customer infrastructure descriptions.

A minimal, security-focused MCP gateway for connecting ChatGPT to AWS account data through explicit, read-only tools.

Enables creating AWS cost estimates through natural language, generating shareable calculator.aws links, and retrieving actual calculated costs via headless Chrome, without requiring AWS credentials.

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

An MCP server that exposes AWS EC2 pricing data with an option to search by CPU, RAM, networking

Enables querying AWS cost and usage data, monitoring budgets, and auditing for waste such as stopped EC2 instances, unattached EBS volumes, and unassociated Elastic IPs through natural language across multiple AWS profiles and regions. Runs locally using existing AWS CLI credentials to keep them secure.

An MCP server for accessing real-time AWS pricing information and providing cost analysis capabilities, with no AWS credentials required.

MCP server that exposes the OBBBA No Tax on Tips federal deduction logic as callable tools, enabling users to check eligibility and estimate tip deductions.

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

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

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

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.

Enables natural language analysis of AWS costs, automated FinOps waste audits, and budget monitoring across multiple profiles and regions while keeping credentials secure locally.

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

MCP server that provides tools for automating AWS Pricing Calculator estimate generation.

Enables users to analyze AWS cloud costs, audit for waste such as unused resources, and monitor budgets using natural language, while keeping AWS credentials on their local machine.

Enables AI assistants to analyze AWS cloud costs, audit for waste, and monitor budgets using natural language across multiple profiles and regions, while keeping credentials on the local machine.

Enables AI assistants to query AWS cost and usage data by tags, time ranges, and service groupings, audit accounts for wasted resources like stopped EC2 instances and unattached EBS volumes, and monitor budget status across multiple CLI profiles and regions using natural language. All credentials stay on the local machine, with read-only access to AWS APIs.

Enables AI assistants to analyze AWS cloud costs, audit for waste such as stopped EC2 instances and unattached EBS volumes, monitor budgets, and query multi-profile and multi-region cost data using natural language. It runs locally and uses existing AWS CLI profiles so credentials remain on the user's machine.

Enables natural-language queries of AWS spending by service, region, day, and instance type, and of Amazon Bedrock usage from CloudWatch model-invocation logs, including optional cross-account cost analysis.

Enables users to analyze cloud costs, audit for waste, and get budget insights using natural language. It provides read-only access to AWS financial and resource data while keeping credentials on the local machine.

Enables AI assistants to analyze AWS cloud costs, audit for waste, monitor budgets, and generate FinOps insights using natural language while keeping credentials local.

This MCP server enables users to analyze AWS cloud costs, audit for wasted resources, and monitor budgets across multiple profiles and regions. It provides secure, local access to AWS financial data using natural language, with credentials never leaving the machine.

Enables AI assistants to query AWS cost and usage data, audit for cloud waste such as idle resources, and monitor budgets using natural language while keeping AWS credentials on the local machine.

Enables users to query AWS cost and usage data, run waste and savings audits, monitor budgets, and compare multiple accounts or regions through natural-language prompts while keeping credentials local.

Enables users to query AWS cost and usage data, audit for wasted resources like stopped EC2 instances and unattached EBS volumes, and monitor budgets across multiple accounts and regions using natural language. Runs locally against existing AWS CLI profiles so credentials never leave the machine.

Enables users to analyze AWS cloud costs, audit for wasted resources like stopped EC2 instances and unattached EBS volumes, and check budget status through natural language in any MCP-compatible AI assistant. Supports multi-profile and multi-region querying while keeping AWS credentials local to the user's machine.