← 🤖 Retrieval & AgentsNEXT IN RETRIEVAL & AGENTSAgent Memory: Short-Term, Long-Term, and Memory Stores→
Core
Model Context Protocol (MCP)
MCP is an open client-server standard that connects an agent to external tools, data, and prompts through one uniform interface, so a single integration serves many hosts instead of bespoke glue written per model. Servers publish tools, resources, and prompts with typed schemas; clients discover and invoke them at runtime. Applied AI interviews test it because what usually keeps an agent from shipping is integration plumbing rather than model quality.
a free account unlocks the core curriculum tier · no card
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.→
COMPANIES THAT ASSUME THIS