Common Pitfalls and How to Avoid Them When Building Production Ready Multi Tenant MCP Servers

The Model Context Protocol (MCP) is quickly emerging as the open standard for connecting AI systems to external tools and data sources. Yet for most developers, getting an MCP server from prototype to production still feels like navigating uncharted territory. Authentication inconsistencies, fragmented SDKs, and unpredictable client behavior make even basic connectivity a challenge—while static, generic tool definitions limit what LLMs can actually do once connected.

In this talk, Stone walks through the real-world pitfalls of building and deploying multi-tenant MCP servers in production—and how Ragie has solved them. Topics include:

Surviving the 0→1 phase: overcoming OAuth headaches and client-specific quirks to achieve stable connectivity.

Taming the Wild West: understanding SDK fragmentation and designing for a moving target.

Making tools useful: using dynamic, context-aware descriptions (via Ragie’s open-source Dynamic FastMCP) to help LLMs choose the right tools confidently.

Improving UX and security: designing an end-user experience that inspires trust and hardening against emerging threats like tool poisoning and prompt injection.

Attendees will leave with an understanding of what it truly takes to make MCP servers production-ready in multi-tenant environments—where stability, adaptability, and user trust matter just as much as protocol compliance. This is a technical deep dive for builders who want to go beyond demos and deliver real, reliable MCP infrastructure.