aws-finops-mcp-server and aws-mcp-server
These are complements: the FinOps-focused tool provides cost analysis and optimization insights, while the general AWS CLI execution tool supplies the underlying infrastructure access needed to implement those recommendations and manage AWS resources.
About aws-finops-mcp-server
ravikiranvm/aws-finops-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.
This tool helps AWS cost managers and FinOps engineers understand and control their cloud spending by connecting directly to your AWS account data. You can ask an AI assistant questions in plain language, like "What did we spend on S3 last month?" or "Do we have any unused EC2 instances?". It takes your natural language prompts and AWS account credentials (kept securely on your local machine) and provides detailed cost breakdowns, waste audits, and budget insights.
About aws-mcp-server
alexei-led/aws-mcp-server
A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.
This project helps cloud engineers and developers manage their AWS resources by allowing AI assistants like Claude to execute AWS CLI commands. You give your AI assistant a natural language request, and it translates it into precise AWS CLI actions. The AI assistant then provides the results of those actions, making cloud infrastructure management more conversational and efficient.
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