Use Quantitative Risk Assessment with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Perform safety and environmental impact modeling for oil and gas facilities.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Quantitative Risk Assessment capability set.
These are the exact actions your AI can choose when you ask it to work with Quantitative Risk Assessment.
01-04
4 capabilities in this set.
Part of 4 available through Quantitative Risk Assessment.
- 01
Analyze hazard frequency
Determines the statistical likelihood of identified hazards
- 02
Calculate individual risk
Estimates the risk to a specific individual based on proximity to hazards
- 03
Evaluate societal risk
Estimates the risk to a population for a specific event
- 04
Generate fn curve data
Produces the data points required to plot an FN curve for societal risk
One connector, every AI
Quantitative Risk Assessment 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Quantitative Risk Assessment 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
855ms average. Fast in production.
Quantitative Risk Assessment is checked daily against the live service.
- Fastest day
- 771ms
- Slowest day
- 990ms
- 14-day trend
- Slowing+28%
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 Quantitative Risk Assessment, so you can see the experience inside your AI.
It does not authenticate your account with Quantitative Risk Assessment. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Quantitative Risk Assessment Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_IxeCyJlFHhOz0folA8DZUr6o786wLdo8vmNmSACX/mcpClaude 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 — Quantitative Risk Assessment capabilities are ready to use.
{
"mcpServers": {
"quantitative-risk-assessment-qra-mcp": {
"url": "https://edge.vinkius.com/vk_preview_IxeCyJlFHhOz0folA8DZUr6o786wLdo8vmNmSACX/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? How to give Claude access to Quantitative Risk Assessment
FAQ
Questions Quantitative Risk Assessment owners ask.
- 01
What can I calculate with this server?
You can use analyze_hazard_frequency to find adjusted hazard probabilities, calculate_individual_risk for person-specific risk, and evaluate_societal_risk to determine the impact on larger populations.
- 02
How do I model mitigation measures?
Use the analyze_hazard_frequency capability and provide mitigationFactors to reduce the baseline frequency of identified hazards.
- 03
Can I generate FN curves?
Yes, the generate_fn_curve_data capability produces the necessary data points for plotting cumulative frequency against fatality counts.
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