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Skills, Tools & MCP – Connecting Your Agent to the World

Event artwork for Skills, Tools & MCP – Connecting Your Agent to the World

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SambaNova Systems
About this event

What to expect

Building intelligent AI agents is just the beginning — the real power comes when you can connect them to the world. This hands-on virtual session focuses on the three essential layers that transform static agents into dynamic, production-ready systems: custom tools, Model Context Protocol (MCP) integration, and reusable skills.

Using the deepagents library and technologies from SambaNova Systems, you'll extend a research agent beyond simple reasoning into real-world action. You'll learn how to define custom tools with structured input/output schemas, connect your agent to external systems through MCP — a universal protocol for agent-to-system communication — and package repeatable workflows into modular, reusable skills.

What You'll Build

This session builds on Session 3 of the series, taking an existing AI agent and enhancing it with production-grade capabilities. By the end, you'll have:

  • Custom tools with structured schemas for reliable agent interactions
  • MCP server connections enabling external data and system access
  • Packaged skills for repeated workflow execution
  • A composable agent architecture combining all three layers
  • A production-style system capable of real-world operations

The final implementation demonstrates how tools, MCP, and skills work together synergistically — transforming a basic research agent into a fully capable, connected system ready for deployment.

Key Topics Covered

The session covers critical patterns for building scalable AI agent systems. You'll explore schema design and prompt engineering for custom tools, understand how MCP standardizes communication between agents and external platforms, and learn to package complex processes into reusable skills using SKILL.md. The curriculum emphasizes composable architectures and production best practices, ensuring your agents are maintainable and extensible.

Who Should Attend

This webinar is designed for AI engineers building real-world agent applications, developers working with LLM-powered systems, and engineers exploring tool use, automation, and integrations. Whether you're new to agentic AI or looking to level up your implementation skills, you'll gain practical knowledge about creating agents that can interact with APIs, databases, and external services.

You'll work with Python (note: tool not in our directory, mentioned as plain text), Deep Agents' create_deep_

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