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Home/Concepts/Model Context Protocol
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Model Context ProtocolMCP

A universal standard for AI to connect to any tool or data source.

MCP (Model Context Protocol) is an open standard published by Anthropic that defines how AI models communicate with external tools, databases, and services โ€” consistently and interoperably.

Before MCP, every AI integration was bespoke: custom code per tool, non-transferable across systems. MCP standardises the interface: any MCP-compatible AI can connect to any MCP server โ€” file systems, databases, GitHub, Slack, browsers, custom APIs โ€” without custom glue code.

An MCP server exposes resources (data the AI can read), tools (actions the AI can invoke), and prompts (templates). Think of it as USB-C for AI integrations.

In plain terms

Like USB-C โ€” it lets any device plug into any charger. MCP lets any AI plug into any data source without custom adapters.

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Related concepts

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API

A standardised way for software to talk to other software.

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Connectors

Bridges that let AI read from and write to your apps and services.

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Function Calling

Letting an AI invoke real code and APIs mid-reasoning.

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AI that plans and takes actions without you guiding every step.

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