At the Nashua Cloud .NET User Group, we explored the Model Context Protocol (MCP) and why it is becoming the execution layer for real AI agents. The session focused on moving beyond prompt-only demos to secure, governed, and reusable tool access for enterprise systems.
We covered how MCP introduces a standard client–server model where the agent handles reasoning, the MCP server exposes tools and enforces security, and existing REST APIs remain unchanged. This creates a clear trust boundary, ensuring that authentication, authorization, auditing, and rate limiting occur on the server without exposing secrets to the model. We also compared local stdio and remote SSE transports, showing that deployment changes while the MCP contract remains the same. The live demo walked through registering tools, invoking them from an agent, and returning structured results, demonstrating how MCP enables deterministic, production-ready workflows instead of fragile prompt chains.
Thank you to everyone who joined, asked thoughtful questions, and contributed to a great discussion.
The Recording and sample codes are available here:
Watch the session: https://youtu.be/pYTLWr0U-h4
Presentation: https://www.slideshare.net/slideshow/model-context-protocol-mcp-connecting-ai-models-to-real-world-systems/286106205
Sample Code: https://github.com/nhcloud/mcp
If you missed the session, join us at the next Nashua Cloud .NET User Group (NashuaUG) meetup to continue exploring practical, real-world AI engineering.