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Connect Safety Integrity Level Verification 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. Verify SIF reliability and hardware compliance against IEC standards.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Safety Integrity Level Verification.

  1. 01

    Evaluate sif performance

    This capability calculates the core reliability metrics for a specific SIF configuration. It provides the PFDavg and RRF values needed for safety assessments.

  2. 02

    Simulate test impact

    Use this to predict how changes in proof test frequency will affect your SIL achievement. It helps you model the trade-off between maintenance costs and safety levels.

  3. 03

    Validate failure data

    This capability checks your reliability datasets for mathematical consistency. It ensures your failure rate data is logically sound before you run further calculations.

  4. 04

    Verify architectural compliance

    This capability audits your hardware configuration against target SIL requirements. It confirms if your hardware fault tolerance meets the necessary safety standards.

Real work

What teams actually run

01

SIL Verification

Confirm that a specific SIF configuration meets its required SIL target.

02

Maintenance Optimization

Determine the maximum allowable test interval before a SIL rating drops.

03

Hardware Design Audit

Verify if a proposed hardware architecture has enough fault tolerance for a target SIL.

04

Data Integrity Checks

Validate that failure rate datasets are consistent before performing safety assessments.

One connector, every AI

Safety Integrity Level Verification 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Safety Integrity Level Verification 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

904ms average. Fast in production.

Safety Integrity Level Verification is checked daily against the live service.

Daily averagePeak 1156ms
Oct 3Today
Fastest day
771ms
Slowest day
1156ms
14-day trend
Stable+4%

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 Safety Integrity Level Verification, so you can see the experience inside your AI.

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

Safety Integrity Level Verification Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_HWTFecKARvqy84aZUxVnHYFLBVYR3Cr2ZiF73a0O/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Safety Integrity Level Verification capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "safety-integrity-level-verification-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HWTFecKARvqy84aZUxVnHYFLBVYR3Cr2ZiF73a0O/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 Safety Integrity Level Verification in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Safety Integrity Level Verification owners hand off.

This MCP is built for engineers working in functional safety and reliability within process industries.

  • 01

    Functional Safety Engineer

    You hand off SIF configurations to the AI to verify SIL compliance.

  • 02

    Reliability Engineer

    You use the AI to model the impact of maintenance schedules on system reliability.

  • 03

    Systems Engineer

    You ask the AI to check if hardware architectures meet IEC standards.

FAQ

Questions Safety Integrity Level Verification owners ask.

  • 01

    What standards does this MCP support?

    The MCP is designed to work with IEC 61508 and IEC 61511 standards for functional safety.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf.

  • 03

    How does it help with maintenance planning?

    You can use the simulation capability to see how changing your proof test frequency changes your PFDavg and SIL rating.

  • 04

    Does it check hardware fault tolerance?

    Yes, the architectural compliance capability checks if your hardware configuration is sufficient for your target SIL.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

  • 06

    How do I calculate the PFDavg for my safety loop?

    You can use the evaluate_sif_performance capability by providing your SIF configuration and the intended test interval in hours.

  • 07

    Can I check if my hardware meets SIL 2 requirements?

    Yes, use verify_architectural_compliance to check if your hardware type and redundancy level satisfy the target SIL requirements.

  • 08

    What happens if my failure rate data is invalid?

    The validate_failure_data capability will identify inconsistencies, such as negative failure rates or invalid diagnostic coverage, before you proceed with calculations.

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