• STRUCTURE
  • CLASSIFICATION
  • LOGS
  • HUMAN

How to map aviation causal chains with your AI

Connect your flight data to your AI client to automate the heavy lifting of accident reconstruction.

Ask AI about this page

Short answer

How can I use AI to map aviation causal chains?

Your AI client processes raw FDR, CVR, and maintenance records to build structured NTSB-style causal chains and HFACS classifications. You get a organized breakdown of technical and human factors. This process moves from raw data ingestion to a finalized investigative framework.

The outcomes.

Where the data lands.

The AI organizes your raw inputs into these specific investigative outputs.

STRUCTURE

NTSB Causal Chains

The AI parses flight data into a logical sequence of events. You receive a step-by-step timeline of the accident progression.

CLASSIFICATION

HFACS Frameworks

Raw observations are mapped to Human Factors Analysis and Classification System levels. This identifies specific organizational and individual errors.

LOGS

Maintenance Context

Maintenance history is cross-referenced with flight data to find discrepancies. You get a clear view of how service history impacted the event.

HUMAN

Investigator Review

The AI flags anomalies and builds the draft, but you make the final call. You review the structured data to validate the findings.

The workflow

What your AI does when data arrives.

The AI handles the data parsing and classification so you can focus on the analysis.

  1. Data Ingestion

    The AI reads through FDR, CVR, and maintenance logs to build a baseline of the event.

    validate_accident_investigation

  2. Chain Construction

    It builds a chronological sequence of events based on the technical telemetry.

    validate_accident_investigation

  3. HFACS Mapping

    The AI categorizes identified errors into the HFACS human factors hierarchy.

    validate_accident_investigation

  4. Validation Check

    The AI runs a final check to ensure the causal chain aligns with the provided flight parameters.

    validate_accident_investigation

Try it

Copy these to start.

Use these prompts once you have connected the MCP.

Starting points

Replace the bracketed text with your actual file paths or database names.

Accident Investigation Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_lW5eq02uyQWDJiNGsxX901icN7Fl8AQ8SwMOpToG/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 — Accident Investigation Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accident-investigation-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lW5eq02uyQWDJiNGsxX901icN7Fl8AQ8SwMOpToG/mcp"
    }
  }
}
Copy into chat04

  • Map a causal chain using the FDR data in /investigations/flight_702.csv.

  • Classify the human factors in this CVR transcript: [paste transcript text].

  • Cross-reference the maintenance logs from the 'Heavy Check' folder with this FDR sequence.

  • Generate an HFACS report based on the findings in the maintenance_history.json file.

  • Claude
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  • Cursor
  • VS Code
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  • Claude Code
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Start here

Connect Accident Investigation Prover once, then ask.

One click connects the MCP to your client. Your credentials stay encrypted and the setup is handled on our end.

Connect Accident Investigation Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI write the final official NTSB report?

    No. The AI builds the structured causal chains and HFACS classifications, but you must write and sign the final report.

  • 02

    Does the AI delete any original flight data?

    No. The AI only reads the data to perform analysis; it cannot modify or delete your original FDR or CVR files.

  • 03

    Can I use this with my existing flight simulators?

    No. This MCP is designed for analyzing recorded data files like FDR and CVR, not for real-time simulation.

  • 04

    Will the AI identify mechanical failures automatically?

    Yes, by analyzing the telemetry in the FDR data and comparing it to known maintenance records.

  • 05

    Does the AI decide which human factor caused the crash?

    No. The AI maps observations to HFACS categories, but the human investigator determines the actual causality.

  • More questions about Accident Investigation Prover? The Connector page answers them. See everything the Accident Investigation Prover Connector can do

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