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Deploying custom MCP servers requires more than just a connection—it requires a robust, governed perimeter. This session explores how we leverage our AI Gateway / Developer Portal as the central nervous system for all MCP traffic, transforming standalone LLMs into actionable enterprise tools.
We will do a deep dive into:
* The "Gold Path" Deployment: Utilizing the Developer Portal to publish and manage consumers. * REST API Synthesis: Strategies for wrapping our existing internal REST ecosystem into MCP tools, allowing LLMs to interact with legacy and microservice architectures securely. * The AI Gateway Architecture: A breakdown of the security primitives—including identity propagation, request filtering, and automated rate limiting—that protect our data. * Deep Observability: Utilizing our telemetry stack to ensure every AI-driven action is logged, audited, and debuggable in real-time.
Staff Engineer at Adeo Data Storage and Exchange, ADEO Services
Staff Engineer for Adeo Global Tech & Data Platform, working mostly with Streaming & Integration Platforms (Kafka, API Management, ESB, Databases) 👷🏻♂️👨🏻💻