An open standard that enables AI models to interact with tools, memory, and data in a structured, auditable way.
GenAI adoption is becoming more widespread in the enterprise, resulting in a growing complexity of AI models and systems. Large Language Model (LLM) use is evolving into the next iteration of AI innovation: autonomous agents capable of learning, reasoning, and acting independently.
However, this new agency brings a significant problem: how do models communicate with tools, data sources, other models, and users in a unified language?
This is where Model Context Protocol (MCP) comes into play. MCP is an open standard that allows AI models to interact with tools, APIs, and memory in a structured, controlled way, standardizing the format for function calls, tool usage, memory, and state.
MCP promises to eliminate the need for custom integrations for each new data source, simplifying the interaction between AI models and their environment.
MCP enables AI models to interact with tools, memory, and data in a structured, auditable way.
Author's summary: MCP simplifies AI model interactions.