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gregoire-costory/awesome-agentic-finops

Analysis updated 2026-05-18

17Audience · ops devopsComplexity · 1/5Setup · easy

TLDR

A curated list of AI-powered tools that let teams chat with, monitor, and act on their cloud spending data.

Mindmap

mindmap
  root((awesome-agentic-finops))
    What it does
      Curated FinOps AI tools
      Maturity ladder framework
    Maturity levels
      Dashboards
      Chat with cost data
      AI creates alerts
      AI executes savings
    Sections
      MCP servers
      Cost agents
      Comparison table
    Broader ecosystem
      Kubernetes cost tools
      IaC cost estimation
      Pricing calculators

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Find an MCP server that connects an AI assistant to AWS, Azure, or multi-cloud billing data.

USE CASE 2

Compare AI cost agents by which cloud providers they support and whether they can take automated action.

USE CASE 3

Explore open-source tools for tracking Kubernetes container costs or estimating infrastructure-as-code spend.

What is it built with?

MarkdownMCP

How does it compare?

gregoire-costory/awesome-agentic-finops0petru/sentimo0xblackash/cve-2026-46333
Stars171717
LanguagePythonC
Setup difficultyeasymoderatemoderate
Complexity1/53/54/5
Audienceops devopsdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

This repository is a curated list of tools for managing cloud spending using AI assistants. FinOps is the practice of tracking and controlling how much a company spends on cloud services like AWS, Azure, and Google Cloud. The "agentic" part refers to connecting AI tools to that financial data so you can ask questions in plain English, get cost summaries, or even have the AI take action on your behalf. The list is organized around a maturity ladder. At the basic level, you read dashboards and pull reports yourself. The next level lets you chat with your cost data in natural language. Higher levels involve an AI that can create alerts and tickets with your approval, and at the most advanced level, the AI proposes and executes cost-saving changes automatically within defined guardrails. The README notes that most tools today sit at the chat level, with only a few reaching the acting stage. The main sections of the list cover MCP servers, which are software components that give AI assistants like Claude access to cloud billing data. Several such servers are listed for AWS, Azure, and multi-cloud setups. There is also a section on AI cost agents and assistants, covering both commercial products and open-source options. A comparison table summarizes each tool by what cloud providers it supports, whether it can take actions, and whether it understands business context beyond raw spending numbers. The rest of the list covers the broader open-source FinOps ecosystem: tools for Kubernetes container costs, infrastructure-as-code cost estimation, pricing calculators, sustainability metrics, and industry standards. Commercial vendors are included but are tagged clearly so readers know they have a financial interest. The list is maintained by the team at Costory, a cloud cost management vendor that is itself listed and tagged the same way as any other vendor. Contributions and corrections are accepted via pull requests.

Copy-paste prompts

Prompt 1
Recommend an MCP server from this list that connects Claude to my AWS billing data so I can ask cost questions in plain English.
Prompt 2
Compare the AI cost agents in awesome-agentic-finops that can automatically create savings tickets versus ones that only chat.
Prompt 3
What open-source tools does this list suggest for estimating Kubernetes cluster costs before deployment?

Frequently asked questions

What is awesome-agentic-finops?

A curated list of AI-powered tools that let teams chat with, monitor, and act on their cloud spending data.

How hard is awesome-agentic-finops to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome-agentic-finops for?

Mainly ops devops.

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