Smart Pig Inspection Planning

Smart Pig Inspection Planning MCP Connector for Claude

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Optimize pipeline inspection programs using degradation physics and historical data.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides intelligent decision support for pipeline operators. It uses degradation models to calculate optimal inspection intervals, determine necessary tool requirements like MFL or UT, and predict expected findings. Operators can assess risk levels to ensure pipeline integrity through data-driven planning.

pipelineinspectionmflultrasonicrisk-assessment

4 tools expose this connector's capabilities to your AI agent.

determine_tool_requirements

Identifies which tool types and sensitivity levels are necessary for a specific pipeline segment

evaluate_inspection_risk

Assesses the risk profile of the current inspection plan

plan_inspection_interval

Determines the optimal time until the next inspection is required

predict_inspection_findings

Forecasts the types and quantities of defects likely to be found in the next inspection

See how to talk to your AI agent using Smart Pig Inspection Planning.

When should we next inspect pipeline P-101 if the degradation rate is 0.05 and the threshold is 2.0?

The next inspection for pipeline P-101 is scheduled for 2026-05-15 with a confidence level of 0.92.

What tool do I need to detect corrosion in pipeline P-202?

For corrosion detection in pipeline P-202, an MFL tool is recommended with a minimum resolution of 0.5.

What is the risk level for a 5-year interval on pipeline P-303?

The risk score for a 5-year interval on pipeline P-303 is 0.75, which is classified as High risk.

The `plan_inspection_interval` tool calculates the date by modeling the time it takes for a detected flaw to reach a critical threshold based on the current degradation rate.

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