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Connect Flight Risk Assessment Prover 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. Stop go-bias with forced ICAO safety rigor.

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Flight Risk Assessment Prover.

  1. 01

    Validate flight risk

    You must think like a Safety Officer at a major airline. the person whose signature means 200 people go airborne. You must: (1) identify THREATS with measured parameters. METAR/TAF data, TEM category (environmental, airline, crew), specific values (crosswind component, RVR, ceiling vs DA/MDA), exposure duration. "Weather risk" is rejected, (2) QUANTIFY risk on the ICAO 5×5 matrix. Probability (A=Extremely Improbable to E=Frequent) × Severity (1=Negligible to 5=Catastrophic) = Risk Index. Score compound risk (multiple threats). Score residual risk after mitigation. >15 = NO-GO, (3) model BARRIERS via Swiss Cheese (Reason). Organizational (SMS, policies), Supervisory (dispatch, scheduling), Preconditions (MEL, crew fitness), Acts (technique, monitoring). Identify holes in each layer. Check if holes ALIGN across layers, (4) analyze HUMAN FACTORS. SHELL model (Software-Hardware-Environment-Liveware-Liveware interfaces). IMSAFE checklist. Fatigue: hours since awakening, FDP position, WOCL exposure. CRM gradient, (5) commit GO/NO-GO. binary decision. Pre-defined NO-GO criteria. "Proceed with caution" is not a decision. it is an evasion. Would you defend this on a CVR transcript read by accident investigators? If rejected, your assessment has a safety gap.Send ALL parameters in ONE call. the analyses above plus YOUR OWN verdict: every PIVOT boolean, verdict and clarification. The engine cross-checks the pivots against the verdict and rejects incomplete or self-contradictory calls. Structured reflection capability for ICAO SMS-level flight risk assessment. forces threat identification with measured parameters, risk quantification on the ICAO 5×5 matrix, Swiss Cheese barrier modeling, human factors analysis via SHELL/IMSAFE, and committed GO/NO-GO decisions. Catches Threat Blindness (generic "weather risk" instead of "CB embedded in cold front, tops FL420, movement 250°/25kt, deviation requirement 40nm right of course. adding 15 minutes and 800kg fuel burn to the trip." Every threat must have METAR/TAF data, TEM category, measurable parameters, and exposure duration), Risk Fantasy (adjective-based "medium risk" instead of ICAO 5×5 matrix scoring. "Probability C (Remote) × Severity 3 (Major) = Index 9 (Tolerable with mitigation)" is quantified. "Medium risk" is a feeling, not an assessment), Barrier Amnesia (no Swiss Cheese defense layers. Reason's model requires analysis of Organizational, Supervisory, Preconditions, and Acts layers. When holes ALIGN across all four layers, accidents happen), Human Factors Ignorance (blaming "pilot error" without SHELL model analysis. Software-Hardware-Environment-Liveware-Liveware interfaces. IMSAFE checklist. Fatigue risk: hours since sleep, FDP position, WOCL exposure), and Go-Bias (sycophantic "proceed with caution" when data demands NO-GO. "Proceed with caution" killed 346 people on two 737 MAX flights. GO or NO-GO. Binary. CVR-defensible). Call once per flight risk assessment

Automate a task

Put Flight Risk Assessment Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Flight Risk Assessment Prover 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 Flight Risk Assessment Prover 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

884ms average. Fast in production.

Flight Risk Assessment Prover is checked daily against the live service.

Daily averagePeak 1147ms
Oct 3Today
Fastest day
708ms
Slowest day
1147ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Flight Risk Assessment Prover, so you can see the experience inside your AI.

It does not authenticate your account with Flight Risk Assessment Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Flight Risk Assessment Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_yVQ8SH5a7Wg2PDaxUdAoa4oiGD5CpUjO8dF2jCt1/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 — Flight Risk Assessment Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "flight-risk-assessment-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_yVQ8SH5a7Wg2PDaxUdAoa4oiGD5CpUjO8dF2jCt1/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 Flight Risk Assessment Prover in Claude and other AIs

See all the AI clients this connector works with ↑

FAQ

Questions Flight Risk Assessment Prover owners ask.

  • 01

    What makes this different from a standard flight risk assessment capability?

    Standard capabilities accept 'medium risk' as an answer. This Prover rejects anything that is not quantified on the ICAO 5×5 matrix with probability (A-E) and severity (1-5). It catches 5 specific failure modes: generic threats without METAR data, adjective-based risk without numerical scoring, missing Swiss Cheese barrier analysis, human factors reduced to 'pilot error' instead of SHELL/IMSAFE, and sycophantic go-bias where the AI says 'proceed with caution' instead of committing NO-GO when the data demands it.

  • 02

    How does the go-bias detection work?

    The engine maintains a semantic trap list of go-bias phrases: 'proceed with caution,' 'acceptable to proceed,' 'can proceed,' 'within acceptable limits.' If the LLM uses any of these instead of an explicit GO or NO-GO decision with pre-defined criteria, the assessment is rejected with GO_BIAS verdict. The LLM must define NO-GO criteria BEFORE the assessment and then commit to a binary decision defensible on a CVR transcript.

  • 03

    What aviation frameworks does this enforce?

    Five industry-standard frameworks: (1) ICAO Annex 19 Safety Management System. proactive hazard identification and risk assessment. (2) ICAO 5×5 Risk Matrix. probability × severity quantification. (3) Reason's Swiss Cheese Model. multi-layer defense analysis with hole alignment detection. (4) SHELL Model. Software-Hardware-Environment-Liveware interaction analysis for human factors. (5) Threat and Error Management (TEM). threat categorization into environmental, airline, and crew factors per FAA AC 120-92B.

Connect Flight Risk Assessment Prover to Claude, Cursor, ChatGPT & more