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Model Context Protocol: A promising AI integration layer, but not a standard (yet)
Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a multi-protocol future.
If adopted widely, MCP could make AI tools discoverable, modular and interoperable, similar to what REST (REpresentational State Transfer) and OpenAPI did for web services. In recent enterprise implementation projects involving task orchestration, document processing and quote automation, the absence of a shared tool interface layer has surfaced repeatedly as a friction point. Based on experience in enterprise environments, one pattern is clear: The lack of standardized model-to-tool interfaces slows down adoption, increases integration costs and creates operational risk.
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