Building an MCP server is the practical step that transforms theoretical understanding of Model Context Protocol into real capability. An MCP server you build today can be used by Claude Desktop, Cursor, Claude Code, and any future MCP-compatible AI application — connecting those tools to your databases, APIs, file systems, and services through a standardised interface. This guide walks you…
Every developer building an AI application that needs to connect to external services faces the same question: should I use a standard REST or GraphQL API, or should I build an MCP server? The MCP vs API comparison — Model Context Protocol versus traditional REST and GraphQL APIs — is not about which is better in the abstract. It is…
Two of the most important concepts in applied AI development are often conflated, compared as alternatives, or misunderstood as competitors. MCP vs RAG — Model Context Protocol versus Retrieval Augmented Generation — is a comparison that reveals a lot about how AI applications are actually architected. This guide gives you the clear technical picture: what each approach does, where each…
What is MCP (Model Context Protocol)? A new standard for how AI models connect to the outside world landed quietly in November 2024 and has since become one of the fastest-rising topics in developer communities worldwide. It is an open standard created by Anthropic that defines how AI assistants connect to data sources, tools, and services in a consistent, secure,…
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