What is MCP (Model Context Protocol)?
MCP (Model Context Protocol) is an open standard, introduced by Anthropic in November 2024, for connecting AI applications to tools and data sources through a common interface. An MCP server exposes a system, such as a CRM or 1C, so any compatible AI client can use it.
Also called: Model Context Protocol
Why it matters
Without MCP, each AI tool needs its own connector to each of your systems. With one MCP server for, say, your order database, the same connection works in several AI assistants and agents. It also gives you one place to decide what the AI may read or change.
1Server and clientThe MCP server wraps a system and lists its tools; the AI application is the client that calls them.
2MCP vs APIAn API serves programmers; MCP describes the same abilities so an AI model can discover and call them.
3Mind the permissionsAn MCP server can read and write real data, so give it its own credentials, narrow scopes and logging.
ExampleA wholesaler in Shymkent builds an MCP server on top of its stock and order system. Sales staff can now ask an AI assistant which customers are waiting for a back-ordered item and get draft messages to them. The server allows reading orders and creating drafts, but not changing prices.
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Related terms
AI agentSoftware that uses a language model to plan the steps of a task and carry them out in your tools.APIA defined way for one piece of software to request data or actions from another.LLMA large language model: an AI model trained on huge amounts of text to read and write language.API integrationConnecting two or more systems through their APIs, so data moves between them without retyping.
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