Model Context Protocol (MCP): A New Language for AI
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? The Model Context Protocol (MCP) addresses this issue.
Model Context Protocol (MCP) is an open standard that allows AI models to interact with tools, APIs, and memory in a structured, controlled way.
Key benefits of MCP include:
- Standardizing the format for function calls, tool usage, memory, and state
- Eliminating the need for custom integrations for each new data source
Author's summary: MCP enables AI models to interact with tools and data in a structured way.
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