WORKSHOP
Building AI Native Applications with Model Context Protocol(MCP) for Dynamic AI Integration
Date: 5th Nov-2025 | Time: 11:30 AM to 01:30 PM
Venue: Workshop Room 2, NIMHANS Convention Centre, Bangalore
FEES:
• Rs.299 for Pro pass holders
• Rs2699 for Standard Pass holders
• Rs2999 for all others
(Limited seats available)
The objective of this workshop is to equip participants with the knowledge and hands-on experience to design, build, and integrate AI-native applications using the Model Context Protocol (MCP).
Sai Nitish Mitta
Software Engineer 2, DELL
Karan Singh
Software Senior Engineer, DELL
Shilpa PV
Software Principal Engineer, DELL;
Sreeja Radhakrishnan
Software Senior Engineer, DELL
Varsha Marekkanavar
Software Quality Engineer 2, DELL
- This workshop is designed for tech enthusiasts who want to build intelligent, context-aware applications using MCP.
- This workshop will introduce participants to the fundamentals of AI-native application development using the Model Context Protocol (MCP). Attendees will learn how MCP enables AI models to dynamically interact with tools and data beyond traditional APIs.
- Through hands-on sessions, participants will set up environments using FastMCP, Python, and SQLite, and build functional MCP servers.By the end, participants will create a context-aware AI application capable of dynamic data integration and intelligent automation.
- Laptop with below installed
- IDE: VS Code
- Version Control: GitHub
- Python Version: ≥ 3.11
- Libraries: fastmcp, uvicorn, pydantic, sqlite3, mcp-inspector
- Note: For hands-on workshop, attendees should bring their own laptop with tools installed
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)
Understand the fundamentals of Model Context Protocol (MCP) and how it enables AI models to dynamically discover and interact with external tools and resources.
Gain hands-on experience with FastMCP, learning to expose Python functions and data sources as MCP servers.
Learn to integrate SQLite and FastAPI backends into MCP workflows for consistent, secure, and scalable AI applications.
Design and implement dynamic AI applications that go beyond rigid APIs, supporting automation, enterprise, and consumer use cases.
About Speakers
Mitta Sai Nitish is a versatile software engineer at Dell Technologies, blending deep engineering expertise with a passion for AI-driven innovation. Proficient in Python, Golang, microservices, and container orchestration (Docker, Kubernetes), complemented by a strong foundation in Data science, NLP, Gen AI & Agentic AI. He specializes in backend development, microservices architecture, and AI-driven systems, leveraging LLMs, RAG, knowledge graphs, vector databases, and AI automation workflows to build intelligent, high-performance solutions. He is passionate about innovation and applying AI to improve existing solutions or implement new ones and is always eager to explore and share the transformative power of technology with the developer community.
Karan is a skilled Senior Software Engineer with extensive experience in Golang, microservices architecture, Docker, and Kubernetes. He is also proficient in Python, with a strong background in machine learning, deep learning, and artificial intelligence. He has worked extensively in the microservices domain, gaining deep expertise in designing, deploying, and maintaining scalable services within Kubernetes environments. His experience spans DevOps practices, including containerization, CI/CD pipeline automation, and infrastructure orchestration. He has successfully deployed and managed numerous microservices in production-grade Kubernetes clusters and integrated AI-driven optimization techniques to enhance performance and efficiency across distributed systems.
Shilpa is a Principal Software Engineer at Dell with extensive experience in designing and developing enterprise-grade applications. A seasoned Java professional, and specializes in J2EE architecture, Spring Framework, and Hibernate. Skilled in database design and optimization using PostgreSQL and PSQL, has also contributed to building scalable microservices leveraging Go (Golang) and Docker. With a strong understanding of modern web technologies like AngularJS, and consistently delivers robust, efficient, and maintainable solutions that drive business performance and innovation.
Sreeja is an Automation Test Engineer at Dell Technologies, specializing in open-source automation using Python, Selenium, Playwright, and Robot Framework. With background in Kubernetes and microservices, she focuses on building scalable and intelligent test solutions. Currently, she’s exploring the integration of Generative AI into testing workflows using RAG, LangChain, LangGraph, and the Model Context Protocol (MCP) to drive context-aware automation. Passionate about innovation, Sreeja shares insights on bridging AI and testing to enable smarter, future-ready QA practices.
Varsha Marekkanavar is a software engineer at Dell Technologies with two years of experience in quality assurance and CI/CD practices using Jenkins. She has a strong foundation in server hardware and architecture and is currently expanding her skills in Java development.
She is enthusiastic about emerging technologies and is actively exploring large language models (LLMs), model context protocol (MCP), and artificial intelligence, reflecting her commitment to continuous learning and innovation.