Cloud FinOps Skill & MCP

Name: Cloud FinOps Skill & MCP
Author: OptimNow

by OptimNowversion 1.48.0i★ –iComputer or cloud

Registry nameio.github.OptimNow/cloud-finops

Install

Overview

Description from the maker (original English)

Cloud cost + FinOps knowledge for AI agents: AWS/Azure/GCP optimisation, AI spend, waste playbooks.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 7 things (tools) list_references, get_reference, find_references, list_playbooks …
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.optimnow.io/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cloud-finops": {
      "command": "uvx",
      "args": [
        "cloud-finops-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http cloud-finops https://mcp.optimnow.io/mcp

Or run it on your computer

claude mcp add cloud-finops -- uvx cloud-finops-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cloud-finops": {
      "url": "https://mcp.optimnow.io/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cloud-finops": {
      "command": "uvx",
      "args": [
        "cloud-finops-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cloud-finops": {
      "type": "http",
      "url": "https://mcp.optimnow.io/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cloud-finops": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cloud-finops-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.optimnow.io/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

list_references
See what FinOps guidance is available: billing mechanics, commitment strategy, allocation and chargeback, AI cost management, and per-provider cost handbooks (AWS, Azure, GCP, OCI, Databricks, Snowflake, ...). Use this to discover what the library covers before deciding what to f
get_reference
Fetch the guidance on one FinOps topic - the billing mechanics, decision rules and worked examples behind a defensible answer - either whole or one section at a time. Use this when you need the actual content of one known reference, after ``list_references`` or ``find_references`
find_references
Find which guidance serves a FinOps question - how to commit, size, allocate, charge back, forecast, or govern cloud and AI spend. Use this for questions like "how should we size Savings Plans", "what should Finance own in chargeback", "what does a Crawl-stage org tackle first" -
list_playbooks
See every ready-made runbook for finding and fixing cloud waste: idle, orphaned and overprovisioned resources, egress surprises, schedule blindness and AI/ML inefficiency across AWS, Azure and GCP. Use this to discover which waste patterns have a runbook. When the question alread
get_playbook
Fetch the step-by-step runbook for one specific waste pattern: symptoms, the detection queries to run, the fix, and the anti-pattern to avoid. Use this when the user asks how to detect, confirm, or fix one specific named waste pattern (zombie NAT gateway, snapshot sprawl, idle Sa
find_playbooks
Finds the runbook for a specific cloud waste pattern, filtered by provider, service, waste category or detection confidence. Useful before answering a specific waste or cost-fix question: each runbook includes a tested detection query the user can run in their own account, so it
get_live_figures
Get the current value of a figure a reference quotes with a date. Use this when a reference quotes a figure from an OptimToken guide ("measured on the 2026-10-25 OptimToken catalogue") and the answer needs the current value: the Compute Savings Plan or reservation discount, the g

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account OptimNow, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 174 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 7 tool descriptions and found no hidden instructions to the AI

Compared with others in Developer toolsi

More stars than 0% of the other 1390 servers in this category
Published to the registry more recently than 99% of the other 1390 servers in this category
Basic checks equal to or better than 100% of the other 1390 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cloud FinOps Skill & MCP safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.48.0) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Cloud FinOps by OptimNow

FinOps knowledge for AI assistants: billing mechanics, commitment decisions and waste runbooks for AWS, Azure, GCP, AI and data platforms. By OptimNow.

Ask your assistant how to reduce a cloud bill, size a commitment, read a term sheet or allocate shared AI costs, and it answers from how billing works, with decision rules and worked examples, instead of general advice. The same files work in Claude, ChatGPT, Gemini, Cursor and any MCP-compatible tool. Open source, written by OptimNow from enterprise FinOps delivery, and aligned with the FinOps Foundation framework.

What you can ask, by role

Each question below is answered by a file that exists in this repository today.

FinOps lead

"Which of our Savings Plans and reservations expire in the next 90 days, and what should we decide before they do?" (aws-expiring-commitment-no-decision, azure-unused-reservation, finops-aws-commitments.md)
"A third of our bill is unallocated. How do we reach a defensible allocation of shared costs?" (finops-allocation-showback.md)
"Who should own commitment purchases, and which meetings do we need to run the practice?" (finops-practice-operations.md)

Finance and procurement

"Our AWS enterprise agreement renews in 6 months. What should we check on the term sheet before signing?" (finops-cloud-contracts.md)
"Finance wants a 12-month cloud forecast with an accuracy target. Which measures do we report, and how tight should the band be at our maturity?" (finops-forecasting.md)
"What has to be true in Finance and in the ERP before we move from showback to chargeback?" (finops-chargeback.md)

Engineering and platform

"Our NAT gateway bill is higher than the compute it serves. Where does it come from and what do we change?" (aws-nat-gateway-endpoint-substitution, aws-zombie-nat-gateway)
"How do we split the cost of a shared Kubernetes cluster between teams?" (finops-kubernetes.md)
"Our Log Analytics ingestion doubled. Which tables and which settings do we check first?" (azure-log-analytics-sprawl, finops-azure.md)

AI product owner

"We spend $40K a month on Bedrock and do not know which features it goes to. Where do we start?" (finops-bedrock.md)
"Should we buy provisioned throughput or stay pay-as-you-go for 500K requests a day?" (finops-genai-capacity.md, finops-azure-openai.md)
"Our AI coding tool spend tripled in 6 months. How do we control it without banning the tools?" (finops-ai-dev-tools.md)

Neither the skill nor the connector can see your cloud account. For a question about your own resources, the answer is a detection query you run yourself, taken from the matching runbook.

What it covers

The FinOps Framework

The reference library is mapped to the 22 capabilities of the FinOps Foundation framework, grouped in its 4 domains. A filled square means at least one reference owns the capability; a grey square means the capability is covered inside another file; a dashed square is a known gap, listed with its reasoning in docs/ROADMAP.md.

This map is generated from the frontmatter of every reference file, and the CI pipeline fails when the committed map no longer matches the files (fcp-coverage.md).

Providers and business needs

The matrix reads the library by business need. Every cell comes from a named reference file, listed in the notes under the tables.

Level	Meaning
● deep	A dedicated reference or section, with decision rules, worked examples or detection queries
◐ partial	Covered inside a broader file, or mechanics only
–	Not covered today
n/a	The combination does not exist

Hyperscalers

Business need	AWS	Azure	GCP
Understand and allocate the bill	●	●	●
Budget and forecast	●	●	●
Commitments and discounts	●	●	●
Contract negotiation and renewal	●	●	●
Reduce waste	●	●	●
AI and GenAI spend	●	●	●
Data platforms	◐	●	◐
SaaS and licences	◐	◐	◐
Carbon footprint	●	◐	◐

Other estates

Business need	OCI	On-prem
Understand and allocate the bill	◐	●
Budget and forecast	◐	◐
Commitments and discounts	◐	◐
Contract negotiation and renewal	–	–
Reduce waste	◐	◐
AI and GenAI spend	–	◐
Data platforms	–	–
SaaS and licences	–	◐
Carbon footprint	–	–

Platforms

Business need	AI	Data	SaaS
Understand and allocate the bill	●	●	◐
Budget and forecast	●	◐	◐
Commitments and discounts	●	●	◐
Contract negotiation and renewal	–	◐	◐
Reduce waste	●	●	●
AI and GenAI spend	●	◐	●
Data platforms	n/a	●	n/a
SaaS and licences	◐	◐	●
Carbon footprint	–	–	–

On-prem covers owned data centres and the hybrid platforms (Outposts, Azure Local, Arc). AI covers the AI platforms: Anthropic, AWS Bedrock, Azure OpenAI, GCP Vertex AI and the open-weight vendor APIs. Data covers Databricks, Snowflake and Microsoft Fabric. SaaS covers SaaS applications, AI coding tools and licences.

Where each cell comes from

All paths are under plugins/cloud-finops/skills/cloud-finops/.

Understand and allocate the bill. AWS: references/finops-aws-billing.md, finops-allocation-showback.md, finops-focus.md, finops-tagging.md. Azure: finops-azure-billing.md, finops-focus.md, finops-tagging.md. GCP: finops-gcp.md (cost data foundation), finops-focus.md, finops-kubernetes.md. OCI, partial: finops-oci.md (cost reports, cost-tracking tags), finops-focus.md. On-prem: finops-on-prem-hybrid.md (internal bill, usage ingestion). AI platforms: the "Cost visibility and allocation" sections of finops-bedrock.md, finops-azure-openai.md, finops-vertexai.md, finops-anthropic.md; finops-for-ai.md. Data platforms: finops-databricks.md (system tables, allocation), finops-fabric.md (shared-capacity allocation), finops-snowflake.md (query attribution). SaaS, partial: finops-sam.md (discovery), finops-focus.md (FOCUS for SaaS vendors), finops-ai-dev-tools.md (attribution patterns).
Budget and forecast. AWS and Azure: finops-forecasting.md, finops-anomaly-management.md, and the Budgets sections of finops-aws-billing.md and finops-azure-billing.md. GCP: finops-gcp.md (budgets, spend caps), finops-anomaly-management.md. OCI, partial: finops-oci.md (Budgets). On-prem, partial: finops-on-prem-hybrid.md (rate setting); capacity planning is on the roadmap. AI platforms: finops-ai-value-management.md (AI investment budgets, stage gates), finops-forecasting.md (AI forecast scenarios), finops-anthropic.md (spend limits). Data platforms, partial: budget controls in finops-snowflake.md, finops-databricks.md, finops-fabric.md. SaaS, partial: finops-sam.md (renewal calendar, metrics), finops-ai-dev-tools.md (spending caps).
Commitments and discounts. AWS: finops-aws-commitments.md, finops-aws-patterns-databases.md (database commitment tree), playbooks/aws-expiring-commitment-no-decision.md. Azure: finops-azure-commitments.md, playbooks/azure-unused-reservation.md. GCP: finops-gcp.md (CUDs, BigQuery commitments), finops-vertexai.md (Flexible Savings Plans), playbooks/gcp-cud-mismatch.md. OCI, partial: finops-oci.md (Universal Credits). On-prem, partial: finops-on-prem-hybrid.md (hybrid platform terms: Outposts, Exadata Cloud@Customer). AI platforms: finops-genai-capacity.md, provisioned capacity in finops-azure-openai.md, finops-bedrock.md, finops-vertexai.md. Data platforms: finops-databricks.md (committed-use bands), finops-snowflake.md (capacity model), finops-fabric.md (reservation). SaaS, partial: finops-ai-dev-tools.md (plan tiers), finops-sam.md (multi-year agreements).
Contract negotiation and renewal. AWS, Azure, GCP: finops-cloud-contracts.md, plus finops-azure-billing.md (EA-to-MCA). Data platforms, partial: the data platform section of finops-cloud-contracts.md, finops-databricks.md, finops-snowflake.md. SaaS, partial: finops-sam.md (renewal governance), finops-itam.md (pre-renewal checkpoint, joint negotiation). OCI, on-prem and AI platforms: no file. See "Contract negotiation and renewal" below.
Reduce waste. AWS: finops-aws.md, the 5 finops-aws-patterns-*.md files, 22 runbooks. Azure: finops-azure.md, finops-azure-patterns.md, 10 runbooks. GCP: the pattern catalogue inside finops-gcp.md, 7 runbooks. OCI, partial: finops-oci.md (6 patterns, no runbook). On-prem, partial: finops-on-prem-hybrid.md (idle capacity line, cost score). AI platforms: finops-for-ai.md (anti-patterns), finops-genai-capacity.md (provisioned-capacity waste), the optimisation sections of the 4 AI platform files, 2 cross-cloud runbooks. Data platforms: the pattern sections of finops-databricks.md, finops-snowflake.md, finops-fabric.md. SaaS: finops-sam.md (sprawl patterns), finops-ai-dev-tools.md (optimisation levers).
AI and GenAI spend. AWS: finops-bedrock.md, finops-aws.md (SageMaker), the GPU and SageMaker runbooks. Azure: finops-azure-openai.md. GCP:

Only the beginning is shown; read the rest in the repo

Cloud FinOps Skill & MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Cloud FinOps by OptimNow

What you can ask, by role

What it covers

The FinOps Framework

Providers and business needs