What can this MCP calculate?

It calculates implementation fees, recurring compliance costs, and the financial impact of different monitoring infrastructures.

Does it cover specific regulations?

Yes, it is designed to model the economic impact of regulations such as the EU AI Act.

How does it handle automation costs?

The MCP can estimate the difference in long-term expenses between manual monitoring and fully-automated systems.

Which AI clients can use this?

You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

Can I model different industries?

Yes, the agent can model economic impacts across various industries based on the provided use case data.

How does the capability account for the EU AI Act?

The calculate_regulatory_overhead capability uses the risk tier defined by the EU AI Act to determine the specific cost multipliers for different industries.

Can I estimate the savings from automation?

Yes, you can use estimate_infrastructure_impact to see how moving from manual to fully-automated monitoring reduces ongoing compliance costs.

What is the final output of the economic analysis?

The compute_total_governance_economics capability provides a complete breakdown including implementation cost, ongoing compliance cost, risk reduction value, and total cost of ownership.

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Connect AI Governance Cost Calculator to ChatGPT and Claude

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. Quantify the financial impact of regulatory compliance.

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 Governance Framework.

01
Estimate infrastructure impact
This capability models how different monitoring setups affect your budget. Use it to see how much you save or spend when moving from manual to automated systems.
02
Get use case cost profile
This capability retrieves a baseline cost profile for a specific AI use case. It provides the starting implementation and compliance costs for a given scenario.
03
Calculate regulatory overhead
This capability calculates the specific costs associated with meeting regulatory requirements. It helps your agent determine the financial burden of staying compliant with new laws.
04
Compute total governance economics
This capability determines the total cost of ownership for your governance framework. It accounts for both initial setup fees and ongoing compliance expenses.

Real work

What teams actually run

EU AI Act Readiness

Model the specific overhead required to comply with new European regulations.

Budget Justification

Show leadership the total cost of ownership for a new AI governance program.

Automation ROI Analysis

Calculate how much money is saved by switching from manual audits to automated monitoring.

Risk Tier Assessment

Determine the baseline costs for high-risk versus low-risk AI implementations.

One connector, every AI

AI Governance Framework 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 Governance Framework 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

843ms average. Fast in production.

AI Governance Framework is checked daily against the live service.

Daily averagePeak 1344ms

Oct 5Today

Fastest day: 758ms
Slowest day: 1344ms
14-day trend: Improving-32%

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 Governance Framework, so you can see the experience inside your AI.

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

AI Governance Framework Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qXWlCBbgeij2oTNx8I0Aefugpt1zXVVv1ZVNoNXQ/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 Governance Framework capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-governance-cost-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qXWlCBbgeij2oTNx8I0Aefugpt1zXVVv1ZVNoNXQ/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 Governance Framework in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Governance Framework owners hand off.

This MCP is built for professionals who need to justify AI oversight budgets to leadership. It turns compliance requirements into actionable financial data.

01
Compliance Officers
They use the agent to model the costs of meeting specific regulatory mandates.
02
AI Product Managers
They hand off cost-modeling tasks to the agent to include in product roadmaps.
03
Finance Leads
They use the output to approve or adjust governance budgets based on risk reduction.

FAQ

Questions AI Governance Framework owners ask.

01
What can this MCP calculate?
It calculates implementation fees, recurring compliance costs, and the financial impact of different monitoring infrastructures.
02
Does it cover specific regulations?
Yes, it is designed to model the economic impact of regulations such as the EU AI Act.
03
How does it handle automation costs?
The MCP can estimate the difference in long-term expenses between manual monitoring and fully-automated systems.
04
Which AI clients can use this?
You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
05
Can I model different industries?
Yes, the agent can model economic impacts across various industries based on the provided use case data.
06
How does the capability account for the EU AI Act?
The calculate_regulatory_overhead capability uses the risk tier defined by the EU AI Act to determine the specific cost multipliers for different industries.
07
Can I estimate the savings from automation?
Yes, you can use estimate_infrastructure_impact to see how moving from manual to fully-automated monitoring reduces ongoing compliance costs.
08
What is the final output of the economic analysis?
The compute_total_governance_economics capability provides a complete breakdown including implementation cost, ongoing compliance cost, risk reduction value, and total cost of ownership.

Explore

More in Finance

Connect AI Governance Framework 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

Estimate infrastructure impact

Get use case cost profile

Calculate regulatory overhead

Compute total governance economics

What teams actually run

EU AI Act Readiness

Budget Justification

Automation ROI Analysis

Risk Tier Assessment

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

AI Governance Framework Connector

Claude Desktop

Compliance Officers

AI Product Managers

Finance Leads

What can this MCP calculate?

Does it cover specific regulations?

How does it handle automation costs?

Which AI clients can use this?

Can I model different industries?

How does the capability account for the EU AI Act?

Can I estimate the savings from automation?

What is the final output of the economic analysis?

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