Intelligent Tool Selection

About

This skill provides a structured framework for Claude to evaluate and select the optimal Model Context Protocol (MCP) tool for a given task. By analyzing operational requirements against a scoring and decision matrix, it ensures tasks are routed to the most appropriate engine—such as Codanna or Morphllm—balancing execution speed against technical precision while providing a clear rationale for every choice made.

Key Features

• Transparent selection rationale reporting
• Performance vs. accuracy trade-off analysis
• Task complexity and requirement parsing
• 7 GitHub stars
• Automated routing between specialized engines
• Structured MCP tool decision matrix

Use Cases

• Standardizing multi-tool selection logic in AI developer workflows
• Optimizing resource usage for simple vs. complex technical tasks
• Routing between Codanna and Morphllm for code analysis