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This article clarifies the distinctions between MCP, skills, and agents in coding environments. It explains how skills function as reusable prompts for tasks, while MCP provides tools that can enhance functionality. The author critiques common misconceptions and highlights the practical benefits of each approach.
Armin Ronacher shares his shift from using MCPs to skills, highlighting the limitations of MCPs, especially in dynamic tool loading and API stability. He argues that skills, which offer better integration and control, are more efficient for managing tool usage in AI agents.