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MCP Prompts and Resources: Fixing LLM Workflow Nightmares

Your AI just hallucinated a 340% sales surge. Reality? A nosedive. MCP prompts and resources stop that cold.

Diagram of MCP primitives: tools, prompts, resources in a workflow

⚡ Key Takeaways

  • MCP prompts fix LLM workflow errors by making sequences user-controlled and compute server-side. 𝕏
  • Resources provide app-managed context, cutting token bloat and boosting relevance. 𝕏
  • Use tools for ad-hoc, prompts for repeats, resources for smarts—MCP's taxonomy scales enterprise AI. 𝕏
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Originally reported by dev.to

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