AI Glossary/MCP (Model Context Protocol)

What Is MCP (Model Context Protocol)?

Definition

MCP (Model Context Protocol) is an open standard developed by Anthropic that provides a universal protocol for connecting AI models to external data sources, tools, and services, enabling structured two-way communication between AI assistants and the systems they interact with.

How MCP (Model Context Protocol) Works

Before MCP, every AI tool integration required custom code — connecting an AI model to a database, API, or service meant writing unique integration logic for each combination. MCP standardizes this with a client-server architecture where AI applications (clients) can connect to any MCP-compatible server that exposes tools, resources, or prompts. This is analogous to how USB standardized device connections. MCP enables AI models to securely access files, query databases, call APIs, and use tools through a consistent interface. It supports resource discovery (the AI can see what tools are available), tool invocation (calling tools with parameters), and context provision (tools can provide relevant data back to the model). MCP is rapidly becoming the standard for agentic AI integrations.

Real-World Examples

1

Claude Desktop using MCP to connect to a user's local file system, allowing the AI to read and write files on their computer

2

A developer building an MCP server that gives AI models access to their company's internal database for answering business questions

3

An agentic AI using MCP to connect to GitHub, Slack, and Jira simultaneously to manage a software development workflow

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MCP (Model Context Protocol) on Vincony

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