As teams move from simple LLM demos to building real-world agentic systems that can take autonomous actions using tools and data, they quickly start to experiment with Model Context Protocol (MCP)- the “USB-C of AI apps.”—a universal, model-agnostic interface for connecting LLMs to external systems that unifies tool integration.
Rather than having to wrap every tool API and database with custom scripts to address, validation, retry logic, and adapter code, MCP can be used as a solution to enforce input/output schemas, and provides built-in retry and logging to make agent development clean, observable, and safe.
In this webinar, you will learn more about:
- MCP’s evolution from early LLM limitations through the RAG era into today’s agentic AI boom,
- How MCP solves core pain points like brittle integrations and error handling
- Demo how to use MCP locally and describe considerations to deploy remotely
Who Should Attend?
This webinar is designed for AI engineers, infrastructure teams, and technical product leaders in the process of designing or building agentic systems that need to interact with databases and other APIs