Vinkius
GDPR Fine Estimator

GDPR Fine Estimator MCP for AI. Instantly calculate breach risk using turnover data.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

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How this MCP server connects to your AI agent

EU GDPR Fine Estimator: Quickly determines potential financial penalties for data breaches. This MCP calculates fine ranges based on a company's annual turnover and specific violation types.

It also classifies the severity of an infringement, providing clear regulatory tiers to help assess compliance risk instantly.

Calculate Fine Range

Estimates potential GDPR fine bands by factoring in the company's annual turnover and the type of data breach.

Classify Severity Tier

Determines the regulatory tier of an infringement, giving a clear view of its compliance risk level.

List Regulatory Factors

Provides a reference list of all legal factors that can increase or decrease potential fines (e.g., intentionality, data sensitivity).

Included with Plan

Waiting for input…

AI Agent

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Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The GDPR Fine Estimator integration is available immediately — no restart needed.

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GDPR Fine Estimator MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EU GDPR Fine Estimator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

The GDPR compliance audit process used to feel like wading through legal quicksand., Solved with Vinkius AI Gateway

Today, assessing a breach's financial impact requires pulling together multiple documents. You have to find the company’s annual turnover report; you need the article number for the violation; then you manually cross-reference that against tables of potential penalties and aggravating factors. It’s slow, it’s tedious, and frankly, it takes half a day just gathering data before you even start calculating.

With this MCP, your agent handles all that heavy lifting instantly. Give it the turnover number and the breach type, and it returns a clear fine range—plus an official severity rating. You get actionable risk assessment in minutes, letting legal teams move straight to mitigation planning.

Estimate Fine Ranges with calculate_fine_range

The biggest time sink used to be having to determine if a breach was merely 'non-compliant' or if it carried severe financial weight. You’d spend hours debating the interpretation of factors like 'intentional nature' versus 'negligence.'

Now, you just use `list_regulatory_factors` and feed that into `calculate_fine_range`. The result is a concrete number backed by specific regulatory logic. That difference saves time and, more importantly, saves legal certainty.

What your AI can actually do with this

Dealing with GDPR requires knowing your risk exposure before a breach happens. Instead of manually cross-referencing Article 83 with internal financial reports, this MCP calculates potential fine ranges immediately. Your agent takes key data—like annual turnover and the specific nature of the violation—and estimates the possible penalty bands. It doesn't just give you a number; it tells you why that number is high or low by listing known regulatory factors, such as if the breach was intentional or involved sensitive data.

Need to know where this tool fits in your compliance stack? Vinkius hosts thousands of MCPs, making sure you can connect and access every specialized service without switching platforms. It also assigns a formal severity level to the violation itself, helping legal teams categorize the incident quickly.

Built · Hosted · Managed by Vinkius GDPR Fine Estimator MCP - Calculate Breach Risk
Server ID 019ed0f8-afaa-71c2-b9f5-797e1f1ff84f
Vinkius Inspector
Compliance Grade B
Score 85/100
Vinkius Inspector Badge — Score 85/100

Questions you might have

How does the EU GDPR Fine Estimator MCP calculate fine ranges? +

It calculates fines using your company's annual turnover data combined with the specific violation type. This provides a banded estimate, showing minimum and maximum potential penalties.

Can I use classify_infringement_severity for non-GDPR breaches? +

No. This MCP is built specifically around EU GDPR standards. It uses classify_infringement_severity to assign a regulatory tier that aligns with European data protection law.

What if I don't know the company's turnover? +

The MCP requires annual turnover for an accurate estimate via calculate_fine_range. While it can still classify severity, you won't get a reliable financial range without that input.

Does list_regulatory_factors cover all potential fines? +

It provides a reference for supported legal factors like intentional nature and previous infringements. It helps explain the variables that influence, but does not define, the final fine amount.

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