Model Context Protocol
An open protocol that standardizes how AI models connect to external tools, data sources, and services. MCP provides a universal interface for LLMs to access context from any compatible system.
Why It Matters
MCP eliminates the need for custom integrations between each AI model and each tool. It is emerging as the USB standard for AI-tool connectivity.
Example
An AI assistant using MCP to connect to your CRM, calendar, and code repository through a single standardized protocol instead of custom integrations for each.
Think of it like...
Like USB replacing dozens of proprietary cables — one universal connector that lets any device talk to any computer.
Related Terms
Tool Use
The ability of an AI model to interact with external tools, APIs, and systems to accomplish tasks beyond text generation. Tools extend the model's capabilities to include search, calculation, code execution, and more.
Function Calling
A capability where an LLM can generate structured output to invoke specific functions or APIs. The model decides which function to call and what parameters to pass based on the user's request.
API
Application Programming Interface — a set of rules and protocols that allow different software applications to communicate with each other. In AI, APIs let developers integrate AI capabilities into their applications.
AI Agent
An AI system that can autonomously plan, reason, and take actions to accomplish goals. Unlike simple chatbots, agents can use tools, make decisions, execute multi-step workflows, and adapt their approach based on results.