The Model Context Protocol (MCP) seamlessly connects LLMs to external data sources, tools, infrastructure, and data APIs. Rather than one-off integrations for every data source, you plug into a single open protocol that AI agents can query for much-needed context to help plan, reason, and execute tasks.

MCP only launched in November 2024. Developers have already built MCP servers in the tens of thousands and integrated them into clients. Numerous marketplaces and tools have also launched around the protocol. However, questions remain about security risks, protocol complexity, scalability, and compatibility with existing systems.

Join us for a 30-minute rundown on the smartest, safest way to implement MCP.

• Enhance the value your GenAI applications and AI agents provide
• Gain an understanding of hosts, clients, servers, tools, communication patterns, and other core components of MCP architecture
• Build and connect tools for context-aware AI workflows in Cursor, Claude, and elsewhere

Sign up as soon as possible to get up to speed on MCP. You’ll receive access to an on-demand recording of the webinar whether you attend or not.

Speakers:

Michael Hunger, Vice President, Product Innovation, Neo4j
Zachary Blumenfeld, AI/ML Product Specialist, Neo4j