Model Context Protocol

Category: Protocols & Standards

Category: Protocols & Standards

Definition

Model Context Protocol (MCP) is an emerging standard that enables AI systems to securely access and interact with external data sources, tools, and services during inference.

How It Works

MCP defines standardized interfaces for AI models to request data, execute functions, and receive structured responses. It handles authentication, rate limiting, and error handling transparently.

The protocol supports both synchronous and asynchronous operations, allowing models to maintain context while waiting for external responses.

Why It Matters

MCP enables AI systems to access real-time data and specialized tools without compromising security or performance. It standardizes how AI integrates with external systems.

This protocol is crucial for building AI agents that can interact with databases, APIs, and other services reliably.


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