"Just like APIs, Model Context Protocol (MCP) is the protocol for communication between AI agents that are using large language models (LLMs). APIs are primarily written for developers while MCP servers are created for AI agents. MCP was introduced by Anthropic on November 25, 2024 as an open source standard to enable communication between AI assistants and external data sources."
"AI agents are constrained by the fragmentation of data in isolated systems. The protocol defines how agents can interact with external systems, elicit user input and enable automated agents. At its core MCP utilizes the client server model and there are three main features for clients and servers: MCP servers provide tools, resources, and prompts while MCP clients utilize elicitation, roots, and sampling."
Model Context Protocol (MCP) is an open-source standard introduced by Anthropic on November 25, 2024, designed to enable communication between AI assistants and external data sources. While APIs facilitate data transfer between systems for developers, MCP serves as a communication protocol specifically for AI agents using large language models. MCP addresses the constraint of data fragmentation in isolated systems by defining how agents interact with external systems, elicit user input, and enable automated operations. The protocol operates on a client-server model with distinct features: MCP servers provide tools, resources, and prompts, while MCP clients utilize elicitation, roots, and sampling. Tools represent the primary mechanism for servers to perform complex tasks, while elicitation enables bidirectional communication between agents and users, allowing agents to select appropriate tools based on user input.
Read at TNW | Artificial-Intelligence
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