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Agentic AI with MCP Integration

Agenda

Agentic AI with MCP Integration: Connect Your AI Agent to 7,000+ Apps

As AI agents become more autonomous and capable, integration becomes a key challenge. In this session, we’ll introduce Agentic AI and how MCP (Model Context Protocol) — an open standard developed by Anthropic — is transforming the way agents connect with external tools. Think of MCP as the “USB-C for AI” that enables seamless, no-code integration between agents and thousands of applications.

We’ll walk through how Zapier’s support for MCP integration allows AI agents to trigger over 35,000 actions across 7,000+ apps — without needing any manual API integration. From sending emails to updating spreadsheets and triggering webhooks, agents can now perform complete workflows end-to-end through MCP-integrated automation.

You’ll see a live demo of how an AI agent connects to a Zapier-generated MCP server URL and executes automated tasks — no code required. We’ll also explore practical agent design strategies for real-world implementation, from orchestrating actions and assigning roles to handling retries and errors at scale.

What We Will Cover:

  • Understand what Agentic AI is and how MCP integration enables scalable, real-time integrations with external tools

  • Learn how Zapier’s MCP feature works and how it empowers agents to perform thousands of actions across major platforms

  • See a live demo of an AI agent triggering a multi-step workflow via a Zapier MCP integration endpoint — with no manual API calls

  • Explore design strategies for agent orchestration: retries, error handling, and modular role assignments

  • Discover how to build and deploy intelligent, automated workflows using MCP integration — and apply these patterns to your own projects

  • Interactive Element: Through live demos and audience Q&A, participants will gain hands-on insights into agent-based automation powered by MCP integration, and leave with a scalable framework they can begin applying immediately.
Zaid Ahmed

Data Scientist at Data Science Dojo | 5x Azure Solutions Architect

Zaid Ahmed is a Data Scientist at Data Science Dojo with deep expertise in software engineering and full-stack data science. With a proven track record as a 5x Azure Solutions Architect, he brings a unique blend of cloud engineering and AI development to his work. Zaid specializes in building end-to-end machine learning systems and conversational AI solutions, offering practical guidance to those looking to bridge the gap between software architecture and intelligent automation.