Model Context Protocol interview guide: hosts, clients, servers, agent gateways, and enterprise MCP deployments.
Model Context Protocol (MCP) is the integration layer behind many modern AI agents. Developer interest centers on MCP servers, enterprise deployments, agent gateways, shared organizational context, and tool interoperability.
Interviews have moved past 'what is MCP?' into architecture and operations: How do hosts, clients, and servers relate? Why put a gateway in front of MCP servers? How do you version tools and share org context without pasting Confluence into prompts?
This guide pairs MCP fundamentals with production architecture thinking. Pair it with our MCP Security guide for loops that emphasize threat modeling.
Deep explanations with architecture diagrams for every question below.
The Model Context Protocol is Anthropic's open standard reshaping how LLMs connect to tools and data. If you're interviewing for Claude ecosystem roles or AI platform engineering, expect MCP questions. Understand host vs server architecture and how MCP differs from ad-hoc function calling.
Read full explanationMCP (Model Context Protocol) defines a clean separation:
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