Model Routing Optimizer MCP Connector for Claude
A+A deterministic engine for selecting the optimal LLM based on cost, quality, and latency.
This MCP server provides a deterministic decision engine to select the best Large Language Model (LLM) for any given task. By analyzing available models against specific requirements, it uses strategies like quality_first, cost_first, or balanced to find the ideal match. You can use route_request to determine the best model for a specific complexity level, get_model_catalog to view supported models, and calculate_batch_accuracy to evaluate historical performance. It automatically flags potential issues like INSUFFICIENT_QUALITY or SLA_VIOLATION based on your defined thresholds.
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