MCPFast / Tools / Local-first, AI-native FinOps for cloud bills

GitHubMCP★★★★☆

Local-first, AI-native FinOps for cloud bills

A local MCP tool to query your AWS, Azure, GCP, Kubernetes, and SaaS bills via Claude or Cursor, without sharing credentials.

View on GitHub

Local-First AI-Native FinOps for Cloud Bills

Managing cloud expenditure is a critical challenge for developers and organizations. Traditional FinOps tools often require sharing sensitive cloud credentials, introducing security risks and complexity. This local-first, AI-native FinOps tool provides a secure and efficient way to analyze your cloud bills directly from your local environment. By leveraging large language models (LLMs) like Claude or Cursor, it enables you to query your AWS, Azure, GCP, Kubernetes, and SaaS bills without ever exposing your credentials to external services.

What it Does

This MCP tool acts as a local agent that interfaces with your cloud provider APIs and billing data. It processes this information locally, allowing you to ask natural language questions about your spending. Instead of navigating complex dashboards or exporting raw data, you can simply query your bills using conversational prompts. The tool then uses an LLM to interpret your query, retrieve relevant data, and provide concise, actionable answers regarding your cloud costs.

Key Features

Who it's For

This tool is specifically designed for developers , DevOps engineers , and FinOps practitioners who are responsible for managing cloud infrastructure costs. If you are concerned about the security implications of sharing cloud credentials, need a faster and more intuitive way to understand your bills, or want to leverage AI for cost optimization, this local-first FinOps solution is an ideal choice. It empowers you to gain immediate insights into your spending patterns without compromising security.