MCP, RAG and the Trusted Data Problem
For the past few years, much of the AI debate has focused on model capability. In enterprise settings, however, results increasingly depend on the system around the model. What information the model can access, how that information is retrieved, and whether it can be trusted has become vital. Technologies such as the Model Context Protocol (MCP) make organisational information more accessible to AI models, but they also make weaknesses in that data harder to ignore and more consequential. In simple terms, MCP is an open protocol that gives AI applications a consistent way to connect to external tools and data
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