MCP For Claude Marketplace
Agent Handoff Protocol Calculator

Agent Handoff Protocol Calculator MCP Connector for Claude

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Model the efficiency, stability, and performance impact of multi-agent handoffs.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deterministic modeling for autonomous agent handoffs. It calculates critical metrics including context transfer size, information loss, handoff latency, and success probability. Use calculate_handoff_metrics to analyze individual transitions, analyze_handoff_chain to evaluate cumulative degradation across multiple steps, and detect_circular_handoff to identify infinite loops in agent sequences. It is designed to help developers maintain conversation health by monitoring context loss and handoff frequency.

agentshandoffcontext-managementlatencymulti-agent

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

detect_circular_handoff

analyze_handoff_chain

calculate_handoff_metrics

See how to talk to your AI agent using Agent Handoff Protocol Calculator.

Calculate the metrics for a handoff with 1000 source tokens, 500 target window, 0.5 compression, 0.9 capability match, and 100ms for each time component.

The transferred size is 500 tokens, the context loss is 0.5, the total latency is 300ms, and the success probability is 0.45.

Check if this agent sequence is circular: ['agent_alpha', 'agent_beta', 'agent_alpha'].

Yes, a circular handoff was detected starting at index 0.

Analyze a chain of two handoffs where each has a 0.2 context loss.

The cumulative degradation is 0.64, meaning 64% of the original information quality is lost after two handoffs.

Context loss is calculated as the difference between the original information and the transferred information ratio, representing the reduction in quality due to compression.

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