https://tuhinsharma.netlify.app/tags/aimlsystems2025/Aimlsystems2025Hugo Blox Builder (https://hugoblox.com)en-usWed, 08 Oct 2025 00:00:00 +0000https://tuhinsharma.netlify.app/media/icon_hu55b84836e614877e119cbfa37f6d5a66_1386708_512x512_fill_lanczos_center_3.pnghttps://tuhinsharma.netlify.app/tags/aimlsystems2025/https://tuhinsharma.netlify.app/talks/aimlsystems2025/Wed, 08 Oct 2025 00:00:00 +0000https://tuhinsharma.netlify.app/talks/aimlsystems2025/<h3> Description </h3> <p>Our tutorial presents two battle-tested, extensible templates (MCP and AI Agents) that have been developed and refined through real-world production deployments. These templates, openly available, provide a proven architectural foundation that accelerates the journey from concept to production while enforcing security best practices and operational excellence.</p> <p>Participants will gain practical experience building a complete agentic ecosystem comprising: Part 1: MCP Server Development - Using our open-source template-mcp-server repository, attendees will create robust MCP servers that enable AI agents to interact securely with external systems. The template includes FastAPI-based HTTP servers, modular tool systems, comprehensive testing frameworks, and enterprise deployment configurations supporting OpenShift/Kubernetes environments. Part 2: Agent Implementation - Leveraging our template-agent framework, participants will build production-ready conversational agents with real-time streaming capabilities, multi-turn conversation management, and enterprise integration features including SSO authentication, PostgreSQL persistence, and Langfuse observability.</p> <h3> Key Technical Contributions </h3> <ul> <li><em>Rapid Deployment Framework</em>: Automation scripts that transform base templates into domain-specific implementations, reducing development time from weeks to hours</li> <li><em>Security-First Architecture</em>: Rootless containers using Red Hat UBI, comprehensive authentication patterns, and secure tool execution environments</li> <li><em>Production Observability</em>: Built-in tracing, logging, and monitoring capabilities essential for maintaining agents in production</li> <li><em>Universal Compatibility</em>: Tool-first design ensuring seamless integration with LangGraph, CrewAI, FastMCP, and other major agent frameworks</li> <li><em>Enterprise-Ready Features</em>: Session management, checkpointing, error recovery, and scalable deployment patterns tested in production environments</li> </ul> <h3> Practical Outcomes </h3> <p>Each participant will complete the tutorial with:</p> <ul> <li>A fully functional MCP server with custom tools deployed to a container platform</li> <li>A streaming AI agent with enterprise authentication and conversation persistence</li> <li>Access to reusable template repositories with comprehensive documentation</li> <li>Automation scripts for rapid customization and deployment</li> <li>Best practices documentation for maintaining agentic systems in production</li> </ul> <p>By providing open-source, extensible templates rather than rigid frameworks, we enable teams to rapidly prototype while maintaining production standards, significantly accelerating the adoption of agentic solutions in software engineering workflows.</p> <h3> Open Source Commitment </h3> <p>Both templates are actively maintained and openly available:</p> <ul> <li>MCP Server Template: <a href="https://github.com/redhat-data-and-ai/template-mcp-server">https://github.com/redhat-data-and-ai/template-mcp-server</a></li> <li>Agent Template: <a href="https://github.com/redhat-data-and-ai/template-agent">https://github.com/redhat-data-and-ai/template-agent</a></li> </ul> <p>These repositories include comprehensive documentation, example implementations, and deployment manifests, enabling participants to immediately apply tutorial learnings in their organizations.</p>