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MCP server · Cloud

Ecos

by · github.com/ecos-labs/ecos

ecos is an open FinOps data stack with a CLI and MCP server that turns raw cloud data into actionable insights.

Unclaimed Apache-2.0 last commit 9 months ago dbtfinopscloud-cost-managementcloudcloud-cost-efficiencydevopsaws
InstallView source
61Good

Scored 4 days ago · breakdown

About Ecos

Ecos is an MCP server published by ecos-labs in the Cloud category: ecos is an open FinOps data stack with a CLI and MCP server that turns raw cloud data into actionable insights. It has been installed 0 times through Conduid.

The repository has 22 stars and 2 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx ecos

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.2.0ecos 0.2.0 · 11 Dec 2025ecos CLI 0.2.0 The **ecos CLI** is the command-line tool for [ecos](https://github.com/ecos-labs/ecos), an open source FinOps data stack that transforms AWS Cost and Usage Reports (CUR) into clean, enriched, high-performance datasets. Its…
ds/aws_cur/v0.2.0aws-cur v0.2.0 · 1 Dec 2025Release aws-cur v0.2.0 Automated release containing packaged DBT models and assets for the **aws-cur** datasource. Recent Changes refactor(models): consolidate serve layer into aws/cur folder (f1e9719) For full commit history:…
v0.1.0ecos 0.1.0 · 1 Dec 2025ecos CLI 0.1.0 The **ecos CLI** is the command-line tool for [ecos](https://github.com/ecos-labs/ecos), an open source FinOps data stack that transforms AWS Cost and Usage Reports (CUR) into clean, enriched, high-performance datasets. Its…
ds/aws_cur/v0.1.0aws-cur v0.1.0 · 30 Nov 2025Release aws-cur v0.1.0 Automated release containing packaged DBT models and assets for the **aws-cur** datasource. Recent Changes Add: code/dbt/ (e553dc1) For full commit history: https://github.com/ecos-labs/ecos/commits/ds/aws_cur/v0.1.0

README

What is ecos?

ecos is an open source FinOps data stack that transforms AWS Cost and Usage Reports (CUR) into clean, enriched, high-performance datasets. Its analytics-ready semantic layer enables cost transparency, allocation, and optimization with actionable insights.

Highlights:

  • Own Your Data - Runs in your infrastructure, any cloud or warehouse. Full transform transparency, data never leaves your account.

  • Modular & Extensible - 40+ pre-built data models. Start small, extend with your business logic and data, sources unified automatically.

  • Production Ready - Smart data materialization balances speed and cost. Fast CLI deployment, serverless scaling, full dbt extensibility.

  • Advanced Analytics - Semantic layer for BI and AI agents. Pinpoint cost drivers, expose savings potentials, track trends and more.

What's included?

  • ecos CLI - One-command project setup, provisioning, and model deployment
  • dbt Models - 40+ pre-built SQL models for cost analysis and optimization
    • Bronze - Views: raw CUR data from S3
    • Silver - Views/incremental tables: cleaned, normalized, mapped data
    • Gold - Incremental Tables (partitioned): business-ready analytics (pre-computed, fast queries)
    • Serve - Custom views you create based on your needs
  • Web UI - Interactive lineage graph and data catalog browser
  • MCP Server - (Preview) AI-powered cost insights via Model Context Protocol

Quickstart

For detailed setup view the full Quickstart guide.

1. Enable AWS CUR Setup AWS Cost & Usage Reports for Athena.

2. Install ecos CLI

# Install via brew
brew tap ecos-labs/homebrew-ecos
brew install ecos

# Verify installation
ecos version

3. Initialize Project

mkdir ecos-playground && cd ecos-playground
ecos init

4. Transform Your Data

# Load reference data
ecos transform seed

# Run all transformations
ecos transform run

5. Query & Analyze

-- Daily service costs
select
  usage_date,
  service_name,
  sum(total_effective_cost) as cost
from gold_core__service_daily
where billing_period = '2025-10'
group by 1, 2
order by 3 desc;

Contributing

We welcome contributions from the community! Whether you're fixing bugs, adding features, improving documentation, or helping others. Your contributions are greatly appreciated.

README mirrored from the source repository 4 days ago. The original is authoritative.

Questions

About Ecos

How do I install Ecos?

Run npx ecos, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Ecos safe to use with an AI agent?

Its trust score is 61 out of 100 (good). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Ecos still maintained?

The last commit was 9 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.