mcp-human-loop
The MCP Human Loop Server is designed to facilitate the collaborative efforts of humans and AI agents by determining when and how human intervention is necessary. It employs a sophisticated scoring system to make this determination, ensuring efficiency and transparency. The project aims to enhance decision-making processes in human-AI interaction.
What is the primary function of the MCP Human Loop Server?
The primary function is to manage human-agent collaboration by determining when human intervention is necessary in AI operations using a sequential scoring system.
How does the server decide if human intervention is needed?
The server evaluates requests through a series of scoring gates, each representing a dimension like complexity, risk, or emotional intelligence, and routes requests to humans if any score exceeds its threshold.
Can the scoring thresholds be adjusted?
Yes, the scoring thresholds are tunable and can be adjusted based on experience and tracked outcomes to improve decision-making.
What future improvements are planned for the server?
Future improvements include dynamic threshold adjustment, machine learning integration for score calculation, and real-time threshold adjustment based on operator load.
Is the server scalable?
Yes, the server is designed to be scalable, allowing for easy addition of new scoring dimensions and adjustments to thresholds.