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This guide compares MCP (Model Context Protocol) and Skills for AI agent development. MCP provides standardized access to real-time network resources, while Skills are local markdown-based instructions. Understanding their complementary roles helps developers build robust agent systems.
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This article explores five best practices for curating and implementing third-party tools in MCP servers to enhance performance and reliability. It covers tool curation, custom wrapping, deterministic guardrails, tool composition, and a case study using Buzz's Spec Reviewer. R&D engineers and developers will gain practical strategies for optimizing their agentic tool workflows.
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Discover how Amplifon's Amplify program addresses AI governance and development challenges. This guide highlights key components, challenges, and best practices for scalable AI infrastructure.
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This article delivers a comprehensive guide to the Web Model Context Protocol (Web MCP), examining its impact on AI agents' navigation and web accessibility. Discover practical implementation strategies and best practices for developers aiming to optimize user experience.
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