MCP: Standardizing Tool Access in AI Workflows

How Model Context Protocol Bridges AI with Tools and Data

The Model Context Protocol (MCP) is an open standard introduced by Anthropic to facilitate seamless integration between AI models and external tools, data sources, and services. Think of MCP as the “USB-C of AI applications” — a universal connector that standardizes how AI agents interact with various systems, enhancing their capabilities beyond mere text generation.

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What It Is
MCP defines a client-server architecture:
* MCP Server: Exposes tools, resources, or prompts that AI models can utilize.
* MCP Client: Resides within the AI application, managing communication with MCP servers.
This architecture allows AI agents to perform actions like accessing files, querying databases, or invoking APIs, thereby extending their functionality and utility.

Disclaimer: This post is part of our comprehensive guide “Building an AI Assistant: Essential Tools and Concepts”. Each topic, including this one, is significant enough to warrant its own space to ensure clarity and depth. This detailed post is written with our main goal in mind — building our own AI Agent with…