- INDEX
- DECISION
- DATA
- HUMAN
Short answer
How can I turn weather and crew data into a risk score?
Your agent parses METAR, TAF, and crew duty logs to generate a structured ICAO 5x5 risk index. It then produces a binary GO/NO-GO recommendation. You get a clear breakdown of the specific risk drivers.
The results you get.
Risk assessment outcomes.
The AI processes your raw data into these specific outputs.
INDEX
ICAO 5x5 Matrix
The agent maps weather and crew variables to a standardized risk index. You receive a structured score based on ICAO standards.
DECISION
Binary GO/NO-GO
The AI evaluates the risk index against safety thresholds. It gives you a clear, actionable recommendation for the flight.
DATA
Structured Weather Logs
Raw METAR and TAF strings are cleaned and organized. You get readable, structured data instead of messy text blocks.
HUMAN
Pilot Oversight
The AI provides the math, but you make the final call. It flags the specific risk drivers for your review.
The workflow
What your AI does when the data arrives.
The agent moves from raw text to a final safety recommendation through these steps.
Data Parsing
The agent reads through raw METAR and TAF strings to extract wind, visibility, and pressure data.
validate_flight_riskCrew Analysis
It checks crew duty logs and rest requirements against current flight schedules.
validate_flight_riskRisk Indexing
The AI maps the weather and crew data to an ICAO 5x5 matrix.
validate_flight_riskDecision Output
The final step produces the binary GO/NO-GO status based on the calculated risk.
validate_flight_risk
Try it
Copy these to start.
Use these prompts to trigger the risk assessment.
Starting points
Swap the bracketed text with your actual weather reports or crew logs.
Flight Risk Assessment Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_yVQ8SH5a7Wg2PDaxUdAoa4oiGD5CpUjO8dF2jCt1/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 — Flight Risk Assessment Prover capabilities are ready to use.
{
"mcpServers": {
"flight-risk-assessment-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_yVQ8SH5a7Wg2PDaxUdAoa4oiGD5CpUjO8dF2jCt1/mcp"
}
}
}Analyze this METAR and TAF for flight risk: [paste weather data]
Calculate the risk index using this crew log: [paste crew data]
Compare this TAF report against our current crew duty limits and give me a GO/NO-GO.
Review the flight risk for the upcoming leg using the data in [file_path]
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Flight Risk Assessment Prover once, then ask.
One link connects the MCP to your client. Your credentials stay encrypted, and the full tool list lives on the Connector page.
Connect Flight Risk Assessment Prover to your AIFAQ
How this task behaves
- 01
Can the AI make the final flight decision?
No. The AI provides a GO/NO-GO recommendation, but the final decision stays with you.
- 02
Does the AI update my flight planning software?
No. The tool only processes the data and provides the risk index. It does not write to or change your external flight planning tools.
- 03
What weather formats does it support?
It is designed to parse raw METAR and TAF strings.
- 04
Can it calculate fatigue risk?
Yes, by analyzing crew duty logs and rest requirements provided in the data.
- 05
Does it use ICAO standards?
Yes, the risk index is structured according to the ICAO 5x5 matrix.
More questions about Flight Risk Assessment Prover? The Connector page answers them. See everything the Flight Risk Assessment Prover Connector can do
Connect Flight Risk Assessment Prover to Claude, Cursor, ChatGPT & more
