Deploying Enterprise MCP Infrastructure: Why On-Premises Architecture Matters for AI Applications

On-premises Model Context Protocol (MCP) infrastructure offers enterprises enhanced security, compliance, and performance for AI applications. An effective architecture includes a control panel for administration, a database for authentication and logging, and a server layer for tool execution. Implementing role-based access control (RBAC) is critical for managing permissions and ensuring that AI agents can securely access external services. This on-premises approach provides a reduced attack surface by operating behind corporate firewalls and offers complete control over data residency and processing.