The Model Context Protocol (MCP) is an open protocol designed to standardize how large language models (LLMs) connect to external tools, APIs, and data sources. Rather than relying on ad hoc, model-specific integrations, MCP defines a structured client–server architecture that allows AI applications to request context and invoke tools in a more consistent and interoperable way. This abstraction layer is becoming more important as enterprises move beyond isolated chat interfaces toward AI systems that must integrate with ticketing platforms, code repositories, CI/CD pipelines, knowledge bases
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