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Model Context Protocol Offers a Unified Standard for Connecting AI to Domain Systems

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The Model Context Protocol (MCP), introduced by Anthropic in November 2024, is an open standard designed to give large language models controlled access to external data sources and tools. Before MCP, every AI application required its own custom integration with domain systems, creating a fragmented tangle of duplicate tool descriptions, varied authentication methods, and hard-to-reuse security logic. MCP addresses this by defining a shared host-client-server architecture using JSON-RPC 2.0, enabling AI hosts such as chat clients, IDEs, and agent tools to connect to domain systems through a single protocol. A developer documenting their own MCP server build — built atop a custom ticket system — illustrates how the standard allows an AI to query current, permission-scoped data rather than relying on guesswork or copied context. The article, first in a series, focuses on foundational concepts, with a follow-up planned to cover interface design and security considerations for a responsible MCP server implementation.

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