Agent Scoring & Ranking Engine MCP Connector for Claude
A+Deterministic performance scoring and ranking for autonomous agents.
This MCP server provides a mathematical framework for evaluating autonomous agents. It processes performance metrics like accuracy, latency, and cost to generate precise composite scores. Use calculate_agent_scores to normalize metrics and compute scores, identify_pareto_frontier to find optimal trade-offs, rank_agents to generate ordered lists, and adjust_weights_for_correlation to prevent metric bias. It is designed to provide stable, reproducible rankings for agent evaluation workflows.
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