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.
The repository has 24 stars and 3 forks, with the last commit 10 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/ecos-labs/ecosThis 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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- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
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.
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Modular & Extensible - 40+ pre-built data models. Start small, extend with your business logic and data, sources unified automatically.
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Production Ready - Smart data materialization balances speed and cost. Fast CLI deployment, serverless scaling, full dbt extensibility.
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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.
- Issues - Report features or bugs
- Contributing Guide - Learn how to contribute
- Code of Conduct - Our community standards
README fetched from the repository 4 days ago. The original is authoritative.