The Model Context Protocol (MCP) simplifies connecting AI models to tools and data, initially offering a seamless developer experience. However, as adoption expands beyond individual developers to enterprise-scale deployments, new challenges arise concerning governance, security, and observability. To address this, an "Enterprise MCP Wall" is emerging, necessitating a centralized gateway to manage identity, authorization, and tool access, ultimately enabling a curated service catalog and standardized operational practices.
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