MCP (Model Context Protocol): The Standard for AI System Communication

What Is the Model Context Protocol?

The Model Context Protocol (MCP) is an open standard that standardizes communication between AI models and external systems. Developed by Anthropic and released as an open-source protocol, MCP enables AI agents to access data sources, APIs, and tools in a structured way.

Why Is MCP Important?

• AI agents need standardized interfaces to external systems
• Without standards, every integration must be individually programmed
• MCP defines a universal protocol for tool calls and data queries
• It enables AI models to access real-time data contextually

MCP Architecture:

• MCP Server: Provides tools and resources
• MCP Client: The AI model that uses the tools
• Tools: Defined actions the agent can execute
• Resources: Data sources the agent can access
• Prompts: Predefined instructions for specific tasks

Relevance for Businesses (2025–2030):

• Websites will become MCP endpoints for AI agents
• Product catalogs, price lists, and booking systems will become MCP-enabled
• AI agents can interact directly with your business system
• Competitive advantage through early MCP readiness

Concrete Preparation:

• Provide APIs with clear documentation
• Use structured data (JSON-LD, Schema.org) as foundation
• Machine-readable pricing and availability information
• Standardize contact and booking interfaces

In the CAFE framework, we actively monitor MCP development and prepare client websites for the agent era — so your business is ready when AI agents become the standard channel.