Hallucinations and inconsistencies make an AI agent unreliable. Context makes the difference. It allows your agent to reliably plan, reason, and execute tasks. This context and the AI-ready data your agent needs flow into it from the Model Context Protocol (MCP).

Join us on 2 December for a 45-minute tutorial on how to build reliable Agentic AI using intelligent MCP.

You’ll learn how to:

• Overcome implementation obstacles
• Improve tool and data access for agents
• Provide context for agents and make data AI ready with GraphRAG