"AWS Agent for Interacting with Multiple AWS Services" 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

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

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.

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.

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, 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 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.

Enables users to query and analyze AWS cloud costs, audit for waste, and monitor budgets through natural language in MCP-compatible AI assistants, while keeping AWS credentials local.

Enables AI assistants to query AWS cost and usage data, monitor budgets, and audit for waste across AWS profiles and regions using natural language, while keeping credentials local.

Enables AI assistants to analyze AWS cloud costs, audit for waste such as idle EC2 instances and unattached volumes, and check budget status through natural language. Runs locally against existing AWS CLI profiles, allowing read-only queries across multiple accounts and regions while credentials stay on the user's machine.