MCP Human Loop

🚀 MCP Human Loop Server

The MCP Human Loop Server acts as an intelligent middleware to determine when human intervention is needed for human - machine collaboration.

🚀 Quick Start

This section will provide a high - level overview of how the server operates. The server is designed to assess requests from agents and decide whether human input is required. It uses a sequence - based scoring system to evaluate multiple dimensions of each request.

✨ Features

Core Concept

The server serves as an intelligent middleware to determine when human intervention is needed in human - machine collaboration. Instead of treating human participation as a binary decision, it uses a sequence - based scoring system to evaluate multiple dimensions of a request before deciding whether human input is required.

Scoring System

The server evaluates requests through a series of scoring gates. Each gate represents a specific dimension where human intervention may be needed. A request is routed to human review only if it triggers a threshold in any of these dimensions:

1. Complexity Score

   • Evaluates whether a task is too complex for an autonomous agent to handle.
   • Considers factors such as the number of steps, dependencies, and decision branches.
   • Example: A task involving multiple steps with uncertain outcomes will receive a higher score.

2. Permission Score

   • Determines whether the requested operation requires human authorization.
   • Based on predefined permission levels and operation types.
   • Example: Financial transactions exceeding a certain amount require human approval.

3. Risk Score

   • Evaluates the potential impact and reversibility of an operation.
   • Considers both direct and indirect consequences.
   • Example: An operation that affects multiple systems or user data will receive a higher score.

4. Emotional Intelligence Score

   • Determines whether a task requires human emotional understanding.
   • Evaluated based on context and user status.
   • Example: When detecting that a user is in a low mood or a sensitive situation, human intervention is triggered.

5. Confidence Score

   • Reflects the agent's certainty about the action it intends to take.
   • A low confidence level triggers human review.
   • Example: When dealing with edge cases or abnormal patterns, the confidence level decreases.

Logical Flow

1. An agent submits a request to the server.
2. The server evaluates each score in sequence.
3. If any score exceeds its threshold → Route to human.
4. If all scores pass → Allow the autonomous agent to perform the operation.
5. Record and log all decisions for system improvement.

Advantages

• Efficiency: Only cases that truly need human intervention are submitted to human operators.
• Scalability: Easily add new scoring dimensions.
• Tunability: Adjust thresholds based on experience.
• Transparency: The decision - making path for human intervention in each case is clearly visible.
• Learning Ability: Continuously improve the system by tracking results.

Future Improvements

• Dynamically adjust thresholds based on result - tracking data.
• Integrate machine learning to optimize score calculation.
• Adjust thresholds in real - time based on operator workload.
• Integrate external risk assessment systems.

To - Do List

Conversation Quality Monitoring

• Monitor emotional and contextual changes in conversations.
• Identify vague or incoherent requests.
• Provide feedback to improve conversation fluency.

Cognitive Load Management

• Analyze user status to assess cognitive burden.
• Dynamically adjust task complexity.
• Provide real - time support to relieve excessive cognitive burden.

Risk Assessment and Mitigation

• Establish a dynamic risk scoring model.
• Identify potentially high - risk operations.
• Develop real - time mitigation strategies.

Continuous Learning and Optimization

• Implement an online learning mechanism to continuously update the scoring model.
• Adjust parameters based on user feedback.
• Provide adaptive services to meet changing needs.

Scalability and Performance

• Optimize the server architecture to improve processing capacity.
• Support the handling of high - concurrency requests.
• Ensure system stability under different loads.

User Interface and Interaction Design

• Develop an intuitive and user - friendly control panel.
• Provide real - time monitoring and visual feedback.
• Design an efficient user workflow.

Security and Privacy Protection

• Establish multi - level security protection mechanisms.
• Protect sensitive data from leakage.
• Comply with relevant laws and regulations to ensure compliance.

Documentation and Training

• Write detailed usage documentation and operation guides.
• Provide training materials for different roles.
• Design case studies to demonstrate system applications.

Testing and Verification

• Establish a comprehensive testing framework.
• Develop automated test cases.
• Conduct large - scale stress tests to ensure stability.