Is this MCP for technical people or finance people?

It works for both. Data architects use it to quantify their technical work, while financial planners use it to speak the language of the executive team. It translates technical debt into dollars.

Does this calculate the cost of data storage?

It calculates the overhead cost of maintaining the lineage itself, including storage and complexity factors, using the calculate_tracking_overhead capability.

What kind of data does it need to calculate ROI?

You need inputs for tracking overhead, compliance value, and estimated debugging savings. The MCP combines these three metrics to calculate the total ROI.

Can I use this if I don't have a specific regulatory mandate?

Yes. While it models compliance value, you can also use it to calculate the internal value of data lineage for efficiency gains, even without external mandates.

How do I calculate the total ROI of my lineage implementation?

You can use the get_lineage_roi_summary capability. It requires the tracking cost, compliance value, and monthly savings calculated from the other capabilities in this server.

What factors influence the tracking overhead cost?

The calculate_tracking_overhead capability calculates cost based on the number of data sources, the depth of the lineage (transformation steps), and the storage requirements for the metadata.

Can this capability help with GDPR or EU AI Act compliance planning?

Yes. By using calculate_compliance_value and selecting the appropriate regulatory strictness level, you can quantify the financial value of mitigating risks associated with these regulations.

An astronaut overseeing a futuristic data hub

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Connect AI Data Lineage Infrastructure Cost Calcu to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Know the ROI of your data architecture today.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Data Lineage Costing.

01
Calculate compliance value
What is the monetary value of our lineage in terms of regulatory risk mitigation?
02
Calculate debugging efficiency
How much time/money will we save in engineering hours by using this lineage?
03
Calculate tracking overhead
How much will it cost to maintain our data lineage?
04
Get lineage roi summary
What is the total Return on Investment (ROI) for our lineage infrastructure?

Real work

What teams actually run

Justifying Budget Increases

Before requesting funds for a new governance platform, run the MCP to show the total net benefit and ROI.

Post-Migration Audit

After moving data to a new system, use the MCP to calculate the compliance value of the new lineage structure.

Risk Assessment

When facing a potential audit, calculate the risk mitigation value to show regulators you are prepared.

System Retirement

Determine the cost of maintaining lineage for old, unused systems to justify decommissioning them.

One connector, every AI

AI Data Lineage Costing works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put AI Data Lineage Costing to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

898ms average. Fast in production.

AI Data Lineage Costing is checked daily against the live service.

Daily averagePeak 1004ms

Oct 3Today

Fastest day: 706ms
Slowest day: 1004ms
14-day trend: Slowing+13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Data Lineage Costing, so you can see the experience inside your AI.

It does not authenticate your account with AI Data Lineage Costing. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Data Lineage Costing Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_yVG0SxD25BE8lUhsquSW0QdZc3RnHofCazm8oXFa/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — AI Data Lineage Costing capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-data-lineage-infrastructure-cost-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_yVG0SxD25BE8lUhsquSW0QdZc3RnHofCazm8oXFa/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up AI Data Lineage Costing in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Data Lineage Costing owners hand off.

This MCP is built for technical and financial roles that need to justify data governance spending. If you're responsible for data architecture or compliance, you'll use this to turn technical debt into clear financial metrics.

01
Data Architect
Use this to model the true cost of implementing and maintaining data lineage across complex systems.
02
Financial Planner
Run calculations to prove the ROI of data governance initiatives to executive leadership.
03
Compliance Officer
Determine the monetary value of risk mitigation required by regulatory bodies.

FAQ

Questions AI Data Lineage Costing owners ask.

01
Is this MCP for technical people or finance people?
It works for both. Data architects use it to quantify their technical work, while financial planners use it to speak the language of the executive team. It translates technical debt into dollars.
02
Does this calculate the cost of data storage?
It calculates the overhead cost of maintaining the lineage itself, including storage and complexity factors, using the calculate_tracking_overhead capability.
03
What kind of data does it need to calculate ROI?
You need inputs for tracking overhead, compliance value, and estimated debugging savings. The MCP combines these three metrics to calculate the total ROI.
04
Can I use this if I don't have a specific regulatory mandate?
Yes. While it models compliance value, you can also use it to calculate the internal value of data lineage for efficiency gains, even without external mandates.
05
How do I calculate the total ROI of my lineage implementation?
You can use the get_lineage_roi_summary capability. It requires the tracking cost, compliance value, and monthly savings calculated from the other capabilities in this server.
06
What factors influence the tracking overhead cost?
The calculate_tracking_overhead capability calculates cost based on the number of data sources, the depth of the lineage (transformation steps), and the storage requirements for the metadata.
07
Can this capability help with GDPR or EU AI Act compliance planning?
Yes. By using calculate_compliance_value and selecting the appropriate regulatory strictness level, you can quantify the financial value of mitigating risks associated with these regulations.

Explore

More in Finance

Connect AI Data Lineage Costing to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Calculate compliance value

Calculate debugging efficiency

Calculate tracking overhead

Get lineage roi summary

What teams actually run

Justifying Budget Increases

Post-Migration Audit

Risk Assessment

System Retirement

Building your own app? The connector is yours to use.

AI Data Lineage Costing Connector

Claude Desktop

Data Architect

Financial Planner

Compliance Officer

Is this MCP for technical people or finance people?

Does this calculate the cost of data storage?

What kind of data does it need to calculate ROI?

Can I use this if I don't have a specific regulatory mandate?

How do I calculate the total ROI of my lineage implementation?

What factors influence the tracking overhead cost?

Can this capability help with GDPR or EU AI Act compliance planning?

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