Why MCP Exists: The Integration Problem It Solves
Understand why AI integrations become difficult at scale and how MCP creates a reusable boundary between AI applications and external systems.
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What Is MCP? A Practical Guide for AI Agent Builders
A practical, beginner-friendly guide to the Model Context Protocol: its host-client-server architecture, tools and resources, request flow, trade-offs, and security boundaries.
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MCP vs Function Calling: What Actually Changes?
A practical comparison of MCP and model function calling, including their boundaries, request flow, portability, security, and combined architecture.
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MCP vs APIs: What Changes and When to Use Each
Learn how MCP relates to REST APIs and SDKs, what each layer owns, and why most production MCP servers still call existing APIs.
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How MCP Works: From User Request to Tool Result
Trace an MCP interaction from server discovery through model tool selection, host authorization, execution, and the final answer.
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MCP Architecture: Hosts, Clients, Servers, Tools, and Resources
A component-by-component guide to MCP architecture, including host and client responsibilities, server primitives, transports, and trust boundaries.
