https://github.com/optimnow/finops-mcp-resources
AI for FinOps: Curated collection of MCP servers and resources for Cloud FinOps practitioners
https://github.com/optimnow/finops-mcp-resources
ai-agents cloud cloud-cost-efficiency cloud-cost-intelligence cloud-financial-management cloudops finops gouvernance mcp mcp-server mcp-tools
Last synced: 21 days ago
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AI for FinOps: Curated collection of MCP servers and resources for Cloud FinOps practitioners
- Host: GitHub
- URL: https://github.com/optimnow/finops-mcp-resources
- Owner: OptimNow
- License: other
- Created: 2025-09-01T09:28:39.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2026-01-20T18:01:07.000Z (4 months ago)
- Last Synced: 2026-01-21T03:24:10.410Z (4 months ago)
- Topics: ai-agents, cloud, cloud-cost-efficiency, cloud-cost-intelligence, cloud-financial-management, cloudops, finops, gouvernance, mcp, mcp-server, mcp-tools
- Homepage:
- Size: 3.77 MB
- Stars: 10
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Governance: governance/INDEX.md
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README
# AI for FinOps — Cloud Cost Optimization with MCP
> Open-source **Model Context Protocol (MCP)** resources for **Cloud FinOps**: cloud cost optimization, AI cost management, FinOps automation, tagging governance, cost anomaly detection, and budget monitoring — across AWS, Azure, and GCP.
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---
## What is this repository?
A practical resource hub for FinOps practitioners, cloud engineers, and platform teams who want to use **AI agents** to automate cloud cost optimization. This repo provides tutorials, MCP server documentation, client guides, and security frameworks for implementing the Model Context Protocol across AWS, Azure, and GCP.
**18 MCP servers documented** | **7 step-by-step tutorials** | **9 MCP clients compared** | **3 cloud providers covered**
---
## How do I get started?
1. **[Choose an MCP client](clients/comparison.md)** — Claude, ChatGPT, Gemini, Copilot, Cursor, Kiro, VS Code
2. **[Run your first MCP tutorial](tutorials/01-aws-pricing-quickstart.md)** — query real-time AWS pricing in 15 minutes
3. **[Explore all FinOps MCP servers](servers/)** — AWS, Azure, GCP, Tagging, JIRA, Slack
---
## Recent Updates (March 2026)
- **New: Workflow & Collaboration Servers** — [FinOps Tagging Compliance](./servers/tagging.md), [JIRA](./servers/jira.md), and [Slack](./servers/slack.md) MCP servers for automated cost governance
- **Registry Backfill** — [`registry.yaml`](./servers/configs/registry.yaml) now lists all 18 documented MCP servers
- **MCP Authentication Vulnerabilities** (January 2026) — Critical security risks and remediation ([read more](./governance/mcp-authentication-vulnerabilities-2026.md))
- **AWS MCP Remote Server** — GA with 15,000+ AWS APIs ([tutorial](./tutorials/07-aws-mcp-remote-server.md))
---
## What's inside?
| Section | What you'll find |
|---------|-----------------|
| [/foundations](./foundations) | What is MCP, how it works, architecture deep-dive |
| [/servers](./servers) | 18 MCP servers — AWS, Azure, GCP, Tagging, JIRA, Slack |
| [/clients](./clients) | 9 MCP clients compared — Claude, ChatGPT, Gemini, Copilot, Cursor, Kiro |
| [/tutorials](./tutorials) | 7 step-by-step guides for AWS, Azure, GCP cost analysis |
| [/governance](./governance) | Security best practices, IAM policies, vulnerability guides |
---
## What is MCP and why does it matter for FinOps?
*MCP connects AI clients to cloud cost management tools through a standardized protocol*
The **Model Context Protocol (MCP)** is an open standard that lets AI agents securely connect to external tools — like AWS Cost Explorer, GCP BigQuery billing exports, Azure Cost Management, or third-party FinOps platforms like Vantage. It's the bridge between "ask a question about cloud spend" and "get a real answer from live data."
**Industry Adoption (March 2026)**: MCP was donated to the **Linux Foundation** (December 2025) with backing from Anthropic, OpenAI, Google, Microsoft, and AWS. The ecosystem has grown to **10,000+ active MCP servers** and is supported by all major AI platforms.
### What can MCP do for cloud cost optimization?
- **Cost anomaly detection** — AI agents query Cost Explorer and alert on spend spikes
- **Tagging compliance** — automated audits of tag coverage and drift detection
- **Resource optimization** — rightsizing recommendations, idle resource identification
- **Budget monitoring** — real-time threshold alerts via Slack, JIRA ticket creation
- **Multi-cloud cost analysis** — unified queries across AWS, Azure, and GCP
- **Cost simulation** — what-if scenarios for commitment purchases and architecture changes
But MCP also raises **governance and security** challenges — this repo addresses both.
---
## Contributing
We welcome contributions — new MCP servers, tutorials, use cases, and security guidance.
1. Fork the repo and create a branch
2. Add your content
3. Open a PR with a clear description
See [CONTRIBUTING.md](CONTRIBUTING.md) for details. New to MCP or FinOps? Start with issues labeled **good first issue**.
---
## Community
- [FinOps Foundation Slack](https://www.finops.org/slack/)
- [LinkedIn](https://linkedin.com/in/jeanlatiere)
- [Code of Conduct](CODE_OF_CONDUCT.md) | [License (Apache 2.0)](LICENSE)