Hybrid AI MCP Server

Example Use Cases

• 1

  Explainable and auditable decision-making on top of neural network outputs.

• 2

  Enforce safety and business rules in regulated or safety-critical environments.

• 3

  Deterministic and transparent logic to complement black-box neural networks.

Description

This server enables hybrid AI by combining large neural networks with simple, transparent MCP neurons to make final decisions that are fully explainable, auditable, and deterministic. It addresses the challenge of neural network opacity in safety-critical and regulated domains by enforcing business rules and safety constraints with clear logic. The server supports creating and applying decision rules, logic gates, and provides detailed explanations and audit trails for compliance and trust.