FastMCP Tutorial: Quick Tools, Live Agents, Real Results with LangGraph
Details
### Overview
As AI agents become more capable, the need for standardized ways to connect them with tools, data sources, and external systems has become increasingly important. The Model Context Protocol (MCP) has emerged as a leading standard for enabling these connections, while FastMCP provides a simple, developer-friendly framework for building MCP-compatible servers and tools that modern AI agents can discover and use.
This hands-on webinar is designed for developers, AI engineers, and technical practitioners who want to move beyond theory and learn how to build practical MCP-powered workflows. Participants will gain a solid understanding of MCP fundamentals and see how FastMCP simplifies development through Python decorators, automatic schema generation, and built-in tooling.
### What You'll Learn
The session begins with an introduction to MCP, including its role in modern AI agent architectures and why it is being widely adopted across the AI ecosystem. We will explore the core concepts behind MCP servers, tools, resources, and tool discovery, providing the foundation needed to build interoperable AI applications.
Participants will then learn how FastMCP streamlines MCP server development and how to create MCP-compatible tools using simple Python-based workflows. The webinar will demonstrate how agents interact with tools, retrieve information, and execute tasks through natural language instructions.
### Hands-On Development
A major focus of this webinar is practical implementation. Attendees will build a FastMCP server from scratch and create several MCP tools, including web search, URL retrieval, and note management capabilities. We will also demonstrate how to test and validate tools using the MCP Inspector and apply common design patterns for MCP-based development.
### Building an End-to-End AI Agent Workflow
In the second half of the session, participants will connect their FastMCP server to a LangGraph-powered AI agent. Through a live demonstration, we will show how agents discover available tools, reason about which tools to use, execute actions, and process responses.
The webinar culminates in a complete end-to-end workflow where a LangGraph agent uses FastMCP tools to perform web searches, analyze retrieved information, and save results automatically—all from a single user request.
### Who Should Attend
This webinar is ideal for AI engineers, software developers, machine learning practitioners, technical architects, and anyone interested in building modern agent-based applications. Whether you are exploring MCP for the first time or looking to add practical AI tooling to your projects, this session will provide actionable skills and a working foundation for developing tool-enabled AI agents.