Everything a Developer Needs to Know About MCP (Model Context Protocol)

Tuesday, June 10
10:00am PT | 1:00pm ET
30 Minutes

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 on June 10 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 Image

Michael Hunger
Vice President, Product Innovation
Neo4j

Michael Hunger has been passionate about software development for more than 30 years. For the last 12 years, he has been working on the open source Neo4j graph database filling many roles, most recently leading the Developer Relations Neo4j team.
Zach Blumenfeld Image

Zach Blumenfeld
AI/ML Production Specialist

Zach is an AI/ML graph enthusiast who helps engineers, data scientists, and business leaders leverage graph technology for analytics and AI applications. His expertise spans several dynamic fields, including criminal fraud detection, identity resolution, and recommendation systems.

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