What kind of data does this MCP need?

The MCP requires technical safety metrics. This includes data from red-teaming exercises, bias assessments, and records of passed or failed evaluations.

Is this for all AI models?

It is designed to assess AI models generally. You can use it to evaluate the safety and compliance posture of any model you provide data for.

Does it tell me if I can legally deploy the model?

It assesses the likelihood and impact of legal intervention by checking regulatory exposure. It gives you the data points needed to make that legal determination.

Can I compare my model to competitors?

Yes. The MCP includes a capability that allows you to compare your model's data against established industry safety benchmarks.

How is the safety score calculated?

The score is derived from successful safety evaluations, the severity of red-teaming failures, detected bias, and whether the model holds industry certifications via calculate_safety_posture. Capabilities available: calculate_safety_posture_tool, assess_regulatory_exposure_tool, estimate_liability_risk_tool.

Can I assess regulatory risk for specific regions?

Yes, use assess_regulatory_exposure to determine the likelihood of legal intervention in jurisdictions such as the EU or USA.

How does this capability help with financial planning?

By using estimate_liability_risk, investors can translate technical safety failures into potential financial liability based on the scale of the user base and severity of vulnerabilities.

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Connect AI Safety Evaluation Score 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. Turn technical safety data into financial metrics.

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 Safety Evaluation Score.

01
Calculate safety posture tool
Calculates the overall safety posture score for an AI model
02
Get safety benchmarks tool
Compares a specific model's data against industry standard safety tiers
03
Assess regulatory exposure tool
Determines the likelihood and impact of legal intervention
04
Estimate liability risk tool
Translates safety failures into potential financial liability

Real work

What teams actually run

Pre-Investment Due Diligence

Before funding a new AI startup, run the MCP to assess their model's safety posture and regulatory exposure.

Compliance Auditing

When preparing for an audit, use the MCP to benchmark your model against current industry safety standards.

M&A Risk Assessment

Evaluating a potential acquisition requires knowing the target company's AI risk. Use this MCP to estimate their total liability.

Market Entry Strategy

If expanding into a new region, use the MCP to check the specific legal and regulatory hurdles for AI deployment there.

One connector, every AI

AI Safety Evaluation Score 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 Safety Evaluation Score 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

869ms average. Fast in production.

AI Safety Evaluation Score is checked daily against the live service.

Daily averagePeak 1052ms

Oct 3Today

Fastest day: 686ms
Slowest day: 1052ms
14-day trend: Slowing+16%

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 Safety Evaluation Score, so you can see the experience inside your AI.

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

AI Safety Evaluation Score Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ndxgwGe3ppWpFRP4zbWPI2mQDg4oedTcw3BpF5gv/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 Safety Evaluation Score capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-safety-evaluation-score-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ndxgwGe3ppWpFRP4zbWPI2mQDg4oedTcw3BpF5gv/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 Safety Evaluation Score in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Safety Evaluation Score owners hand off.

This MCP is essential for institutional investors and risk officers who need to move beyond simple technical scores. If your job involves due diligence, compliance audits, or assessing investment risk in AI, this capability provides the necessary financial context.

01
Compliance Officer
Uses the MCP to determine if a model meets legal standards in various jurisdictions.
02
Investment Analyst
Uses the MCP to quantify the financial risk associated with potential AI investments.
03
Risk Manager
Uses the MCP to project potential liability and systemic risk from model vulnerabilities.

FAQ

Questions AI Safety Evaluation Score owners ask.

01
What kind of data does this MCP need?
The MCP requires technical safety metrics. This includes data from red-teaming exercises, bias assessments, and records of passed or failed evaluations.
02
Is this for all AI models?
It is designed to assess AI models generally. You can use it to evaluate the safety and compliance posture of any model you provide data for.
03
Does it tell me if I can legally deploy the model?
It assesses the likelihood and impact of legal intervention by checking regulatory exposure. It gives you the data points needed to make that legal determination.
04
Can I compare my model to competitors?
Yes. The MCP includes a capability that allows you to compare your model's data against established industry safety benchmarks.
05
How is the safety score calculated?
The score is derived from successful safety evaluations, the severity of red-teaming failures, detected bias, and whether the model holds industry certifications via calculate_safety_posture. Capabilities available: calculate_safety_posture_tool, assess_regulatory_exposure_tool, estimate_liability_risk_tool.
06
Can I assess regulatory risk for specific regions?
Yes, use assess_regulatory_exposure to determine the likelihood of legal intervention in jurisdictions such as the EU or USA.
07
How does this capability help with financial planning?
By using estimate_liability_risk, investors can translate technical safety failures into potential financial liability based on the scale of the user base and severity of vulnerabilities.

Explore

More in Finance

Connect AI Safety Evaluation Score 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 safety posture tool

Get safety benchmarks tool

Assess regulatory exposure tool

Estimate liability risk tool

What teams actually run

Pre-Investment Due Diligence

Compliance Auditing

M&A Risk Assessment

Market Entry Strategy

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

AI Safety Evaluation Score Connector

Claude Desktop

Compliance Officer

Investment Analyst

Risk Manager

What kind of data does this MCP need?

Is this for all AI models?

Does it tell me if I can legally deploy the model?

Can I compare my model to competitors?

How is the safety score calculated?

Can I assess regulatory risk for specific regions?

How does this capability help with financial planning?

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