GLOSSARY / AI & Context Intelligence

What is Model Context Protocol (MCP)?

The emerging open standard that defines how AI models connect to external tools, data sources, and services.

Last Updated: Thu Jan 01 2026

AI models in isolation have limited utility. They need to connect to your data, tools, and services. MCP standardizes how these connections work.

Why MCP Matters

Before MCP, every AI integration was custom. Connecting AI to your CRM meant building proprietary integration. Connecting to a different tool meant building another. MCP provides a standard protocol so tools built once work across compatible systems.

How MCP Works

MCP defines how AI models request context, how external systems provide it, and how responses flow back. It covers authentication, data formats, capability discovery, and error handling. Think of it like HTTP for AI integrations.

MCP in Marketing Technology

For marketing platforms, MCP enables AI to connect to CRMs, analytics tools, DAMs, and other systems through standard interfaces. This reduces integration complexity and enables richer AI capabilities that span your entire technology stack.

icon image

Definition

Model Context Protocol (MCP) is an open standard for connecting AI models to external data sources, tools, and services. It provides a unified way for AI applications to access context and capabilities beyond their training data, enabling more powerful integrations and consistent behavior across different systems.
icon image

Also Known As (aka)

MCP, context protocol, AI integration protocol, model protocol

Frequently Asked Questions

Anthropic introduced MCP as an open standard in late 2024. It is designed to be vendor-neutral and openly implementable. The goal is industry-wide adoption to reduce fragmentation in AI integrations.

How it relates to Pixelesq

Pixelesq embraces MCP for AI integrations, connecting to your existing tools through standardized protocols. As MCP adoption grows, your Pixelesq-powered sites gain automatic access to an expanding ecosystem of AI-enabled services and data sources.
Placeholder Image
built with
Pixelesq Logo
pixelesq