Minimum 2 years of experience. Freshers and college students will not be permitted, so please excuse this event.
What's This About?
Model Context Protocol (MCP) redefines how AI integrates with external systems. In this hands-on workshop, you'll go beyond theory and actually build an MCP-powered application, giving your AI models the ability to plan, call APIs, and take action—just like a true software agent.
Prerequisites – Bring Your Laptop Ready!
- Minimum Specs:
- Intel i7 or AMD Ryzen 7 (or higher)
- At least 8 GB RAM (16 GB recommended)
- Software Pre-installed:
- Python (3.8 or higher)
- Node.js (LTS version preferred)
- Docker
- Access Requirements:
- Admin access on your machine (for package installations)
- Personal laptops are preferred for a smoother setup experience
Why Attend?
- Traditional LLMs are passive—MCP makes them active agents.
- Avoid tool integration chaos: MCP brings standardized, plug-and-play protocols.
- Learn the architecture that powers next-gen AI assistants and autonomous agents.
What You’ll Learn:
- Understand the MCP Protocol
Grasp the principles of how MCP bridges LLMs with external tools.
- Setup Your MCP Server
Get started with an MCP-compatible server using Docker and local tools.
- Create a Custom MCP Service
Build a tool (like a time API or data fetcher) and expose it to your model.
- Integrate MCP with an Application
Wire up your application so your LLM can observe, plan, and act using tools.
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Who Should Join?
- AI/ML Engineers
- Backend & DevOps Developers
- Product Builders exploring agent-first architectures
- Tech enthusiasts eager to go beyond "chat" and into AI that acts
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Bonus
- Sample MCP server setup files & GitHub templates
- Discussion on use cases: AI IDEs, AI agents, autonomous workflows
- Q&A with practitioners using MCP in production
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🎯 Seats are limited – Don’t miss the chance to explore how MCP is the future protocol for AI integrations.
