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Core
Model Context Protocol (MCP)
MCP is an open client-server standard that lets an agent connect to external tools, data, and prompts through a uniform interface, so one integration works across many hosts instead of writing bespoke glue per model. Servers expose tools, resources, and prompts with typed schemas; clients discover and call them at runtime. Applied AI interviews probe it because integration plumbing, not model quality, is usually what blocks an agent from shipping.
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RELATED CONCEPTS
PRACTICE THIS IN REAL QUESTIONS
RAG & Agent System DesignWhat is the Model Context Protocol (MCP), and how do you design good tools for an agent?→RAG & Agent System DesignBeyond basic tools, what advanced MCP patterns matter: resources, prompts, sampling, and roots?→RAG & Agent System DesignYour agent has many tools but keeps picking the wrong one or passing wrong parameters. How do you fix it?→RAG & Agent System DesignWhat is 'harness engineering' for AI agents, and why does the scaffolding matter as much as the model?→LLM & GenAI FundamentalsHow does LLM tool calling (function calling) actually work under the hood?→RAG & Agent System DesignBuild a customer-support agent over a fake product/SQL database: tool-calling, retrieval, and a control loop.→
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