Model Context Protocol—a spec for hooking LLMs to services via tools, prompts, resources. Like HTTP, but for models calling your backend.

How do MCP prompts differ from tools?

Prompts are user-clicked workflows with fixed steps; tools let the LLM pick and sequence on the fly.

Are MCP resources safe for enterprise?

Yeah, app-controlled context injection means no user/LLM leaks—just relevant schema or data when needed.

🤝 Community & Governance

MCP Prompts: Fixing LLMs That Can't Count Without Wrecking Your Reports

Your AI just handed you a polished sales report claiming 340% growth—in a declining category. MCP prompts promise to stop that nonsense by making workflows idiot-proof.

theAIcatchup Apr 10, 2026 4 min read

Diagram showing MCP primitives: tools, prompts, and resources in a workflow

⚡ Key Takeaways

MCP prompts fix LLM math fails by server-side determinism for workflows. 𝕏
Three primitives split control: model (tools), user (prompts), app (resources). 𝕏
Skeptical outlook: great for reliability, but watch for middleware bloat like CORBA redux. 𝕏

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theAIcatchup

Community-driven. Code-first.

#AI prompts #AI tools #AI tools vs prompts #AI workflows #LLM tools #LLM workflows #MCP #MCP prompts #MCP resources #Model Context Protocol

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Originally reported by Dev.to

⚡ Key Takeaways

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