AI applications are only as useful as the systems they can reach. Most of the work in building a real AI application isn't the model, it's securely connecting that model to your tools, data, and workflows without duct-taping together custom integrations for every new system.
This webinar explores how Model Context Protocol (MCP) solves that problem. We'll walk through how MCP servers expose tools and resources to AI applications, how Claude uses those servers to take real actions across external systems, and what a secure, production-ready MCP setup actually looks like in practice, so you can move from prototype integrations to applications that reliably connect to the real world.
Limited live attendees. Register below to secure your spot.
Explore how MCP enables AI applications to securely connect with external tools, data, and workflows, and see how custom MCP servers can extend AI capabilities through a practical Claude + GitHub demonstration.
Learn how MCP clients, servers, tools, resources, and protocols work together to connect AI applications with external systems.
See how custom MCP servers expose tools and resources that AI applications can discover and use for real-world workflows.
Watch a practical demonstration of Claude Desktop interacting with GitHub through a custom-built MCP server.
Four things every attendee wants settled first. If yours is not here, an engineer answers directly.
Yes. Registration is completely free for all attendees.
Yes. The webinar is designed for software developers, SREs, platform engineers, and technical leaders interested in Model Context Protocol and real-world AI integrations.
Yes. All registered attendees will receive access to presentation slides and event materials following the session.