What is MCP in simple terms?

Model Context Protocol (MCP) is a standard way for AI assistants to ask for and receive information from different systems. Think of it as a standardized language that lets Claude talk to your business tools (Slack, CRM, databases) safely and securely.

Is Model Context Protocol the same as an API?

No, they're different. APIs are technical interfaces that require developers to build custom integrations. MCP is higher-level and more standardized — it's designed so AI can use the same protocol with many different systems without custom coding.

Do I need to know how MCP works to use it?

No. You don't need to understand the technical details. If you can use Claude, you can use an MCP server. Just connect it and start asking Claude questions about your data — it handles the complexity.

Which AI assistants support MCP?

Claude (both web and desktop) natively supports MCP. Other AI assistants are adding support as the standard gains adoption. The Anthropic ecosystem has the deepest integration.

Is MCP secure for business data?

Yes. MCP is designed with security as a core principle. Your credentials stay on your machines, data requests are controlled, and you can audit everything that happens. It's built for enterprise use.

Learn

Understanding the technology behind connected AI systems. Our technical reference for the Model Context Protocol—the open standard reshaping how businesses integrate AI with their tools.

What Is the Model Context Protocol? A Plain English Guide

The open standard that lets AI assistants like ChatGPT and Claude securely talk to your business software — explained without jargon.

Model Context Protocol (MCP) explained in plain English. Learn how this open standard lets AI assistants connect to your CRM, accounting tools, and databases securely.

November 2025 6 min read

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MCP vs APIs vs Plugins: Which Integration Approach Should Your Business Use?

A clear comparison of the three ways to connect AI to your business tools — with guidance on when each one makes sense.

Compare Model Context Protocol, traditional APIs, and plugin ecosystems for AI integration. Learn which approach fits your business needs, budget, and technical resources.

December 2025 8 min read

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How AI Assistants Connect to Your Tools: MCP Architecture Explained

A visual walkthrough of clients, servers, and the communication layer that makes AI integration work — from request to response.

Understand the technical architecture behind MCP: how AI clients communicate with MCP servers to securely access your business tools, databases, and APIs.

January 2026 10 min read

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