What is MCP: The Infrastructure Powering Agentic AI

Model Context Protocol (MCP) is an open standard designed to connect AI applications with external systems, enabling large language models (LLMs) to access data sources, execute tools, and run workflows dynamically without the need for custom integrations. Unlike traditional APIs, which require explicit coding for each interaction, MCP allows AI models to discover and utilize resources programmatically by defining a structured way for systems to advertise their capabilities. This is achieved through a client-server model where an MCP server exposes data sources, tools, and workflows in a standardized format, allowing LLMs to query and utilize them efficiently. MCP uses a layered architecture with a data layer for lifecycle management and a transport layer that abstracts communication details, supporting both local and remote servers. The protocol is gaining traction with major companies and developers creating MCP servers for various platforms, thereby streamlining AI integration and reducing the complexity of connecting AI tools to diverse APIs. The emergence of an MCP ecosystem, with marketplaces and toolkits, is facilitating discovery and deployment, transforming how software is developed and used by enabling natural language interaction with diverse systems.