MCP For Claude Marketplace
Process Control Strategy

Process Control Strategy MCP Connector for Claude

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Generate comprehensive control strategies for mineral processing circuits.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for mineral processing engineers to design and optimize plant control. It maps physical circuit configurations and available instrumentation to advanced control methodologies. Engineers can use analyze_circuit_topology to track how disturbances propagate through equipment, evaluate_control_loops to design regulatory structures, identify_advanced_control_opportunities to find MPC applications, and generate_instrumentation_requirements to specify necessary hardware for target performance.

miningprocess-controlautomationmineral-processingindustrial

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

evaluate_control_loops

Design the fundamental regulatory control structures needed to stabilize the process

generate_instrumentation_requirements

Determine the hardware necessary to achieve the defined control objectives

identify_advanced_control_opportunities

Pinpoint where high-level automation like MPC can significantly improve plant performance

analyze_circuit_topology

Understand how disturbances travel through the mineral processing plant based on the physical setup

See how to talk to your AI agent using Process Control Strategy.

Analyze the topology for a circuit with a primary crusher followed by a SAG mill and a flotation cell, using a flow meter and a level sensor.

The analysis identifies the SAG mill as a critical node. Disturbances from the primary crusher will propagate through the SAG mill to the flotation cell, potentially affecting downstream mineral grade.

What instrumentation is needed to maintain a target flotation grade with high precision?

To achieve high precision for flotation grade, you will require an online particle size analyzer and high-accuracy pH probes placed at the flotation cell feed and discharge.

Identify advanced control opportunities for a complex grinding circuit with multiple interacting loops.

Multivariable Model Predictive Control (MPC) is recommended for this circuit to manage the intense interaction between mill throughput and particle size distribution.

The `analyze_circuit_topology` tool examines your equipment sequence to identify critical nodes and how disturbances move through the plant.

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