aws-finops-mcp-server MCP server

An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.

What aws-finops-mcp-server does

Summarised from the project README; check the repository for the latest details.

Features

• Detailed Cost Analysis: Query your AWS cost data using tags, time ranges, and service groupings.
• Automated FinOps Audit: Instantly find common sources of cloud waste, such as stopped EC2 instances, unattached EBS volumes, and unassociated Elastic IPs etc.
• Budget Monitoring: Check the status of your AWS Budgets to see if you are on track, over budget, or forecasted to exceed your limits.
• Multi-Profile & Multi-Region: Seamlessly query across any or all of your configured AWS accounts and regions in a single command.
• Secure by Design: Your AWS credentials never leave your machine. The server runs locally and uses your existing AWS CLI configuration to make API calls directly to AWS.

Requirements

• Python 3.10+: Ensure you have a compatible Python version installed.
• MCP Client: An application that supports MCP. This guide uses Claude for Desktop as the example.
• AWS CLI: The AWS CLI must be installed on your machine.
• AWS Account & Profile(s): You need at least one configured AWS profile.
• IAM Permissions: The AWS identity (IAM User or Role) associated with your profile(s) requires specific read-only permissions to function correctly.

How to install aws-finops-mcp-server

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