Model Context Protocol (MCP)

Model Context Protocol (MCP)

Term explanation

Definition and meaning

The Model Context Protocol (MCP) is an open standard developed by Anthropic in 2024 and widely adopted in 2025 by OpenAI, Google, and Microsoft. It defines a standardized way for AI agents to connect to external tools, data sources, and enterprise systems — without requiring custom integrations for every connection. MCP acts as a universal interface: an AI agent with MCP support can securely access databases, APIs, document repositories, and business applications using a consistent protocol, regardless of the underlying system. This dramatically simplifies how AI is embedded into complex enterprise environments.

LIZ AI uses MCP to connect seamlessly to your enterprise systems — CRM, ERP, BI tools, and more. Through standardized MCP integrations, it retrieves live data and feeds it directly into your PowerPoint presentations, automatically and securely.

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Other glossary terms

Orchestrator Agent

An orchestrator agent is a specialized AI agent that coordinates and directs the work of other agents — rather than executing tasks directly itself. In a multi-agent system, the orchestrator receives a high-level goal, uses task decomposition to break it into subtasks, assigns them to specialist agents, monitors progress, and assembles the final output. This pattern enables reliable automation of complex, multi-step enterprise workflows.

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Recall Questions

Recall questions ask participants to retrieve and state information they have previously learned or been told. They test memory and knowledge retention rather than understanding or analysis. In training sessions and educational presentations, recall questions at the end of a segment can reinforce key points and check how much the audience has absorbed. While they don't assess deeper comprehension, they are an efficient tool for checking baseline knowledge and reinforcing core facts.

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Recall Questions

Recall questions ask participants to retrieve and state information they have previously learned or been told. They test memory and knowledge retention rather than understanding or analysis. In training sessions and educational presentations, recall questions at the end of a segment can reinforce key points and check how much the audience has absorbed. While they don't assess deeper comprehension, they are an efficient tool for checking baseline knowledge and reinforcing core facts.

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E-Lecture

An e-lecture is a recorded or live-streamed lecture delivered digitally, typically as video content that learners can watch on any device. E-lectures replicate the structure of traditional academic lectures but remove geographic and scheduling constraints. They are common in university distance learning programs, corporate training platforms, and MOOCs. E-lectures are often paired with supplementary materials, quizzes, or discussion forums to maintain engagement and assess comprehension.

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