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.
MCP is an open standard that allows AI models to interact with tools, APIs, and memory in a structured and controlled manner, 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.
Author's summary: MCP enables AI models to interact with tools and data in a structured way.
- Enables AI models to interact with tools, memory, and data
- Standardizes the format for function calls, tool usage, memory, and state
- Eliminates the need for custom integrations for each new data source
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