What is Model Context Protocol (MCP)? The Future of Remote AI Context

Anthropic's Model Context Protocol (MCP) is an open standard designed to provide AI models, particularly large language models (LLMs), with the necessary context—such as external data, tools, and services—to perform tasks effectively. Released in 2024, MCP aims to standardize how LLMs access additional context, thus eliminating the need for fragmented custom integrations. While some view MCP as a mere repackaging of tool calling or APIs, it introduces interoperability and intention-based communication, allowing LLMs to reason more effectively about when and why to use certain tools. MCP enables agentic workflows by providing tools, memory, and prompts that let LLMs make autonomous decisions. However, transitioning to remote MCP servers introduces challenges such as secure authentication, high availability, and the risk of tool poisoning attacks. API gateways can help manage these complexities by providing centralized security, load balancing, and developer onboarding. As organizations like Kong apply these principles to MCP, the protocol is poised to become a foundational component in AI-driven workflows.