MCP (Model Context Protocol)

Executive Definition: MCP (Model Context Protocol) — An open standard designed to connect AI models with external data sources and tools uniformly.

MCP standardizes how AI applications integrate with local and remote systems, such as file systems, databases, or third-party APIs. By establishing a universal client-server protocol, it allows AI agents to dynamically discover and consume context and capabilities without requiring bespoke API wrappers, significantly accelerating the development of capable AI systems.

Frequently Asked Questions

Why was MCP created?

To eliminate the need for developers to build custom, fractured integrations for every AI model and data source. It provides a standardized architecture for context retrieval.

How does MCP work?

MCP uses a client-server architecture. AI applications (clients) communicate with MCP servers, which provide standard interfaces to expose resources (data), tools (actions), and prompts.

Is MCP specific to Anthropic models?

No. While Anthropic spearheaded its development, MCP is an open-source, model-agnostic protocol designed to be adopted across the entire AI ecosystem.