Why MCP is the Key to Building Context-Aware AI Agents
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to Cart failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Please try again
Unfollow podcast failed
Please try again
Why MCP is the Key to Building Context-Aware AI Agents
-
Narrated by:
-
By:
About this listen
In this episode, we dive into MCP (Memory, Code, and Planning) — the foundational trio that powers truly context-aware agentic AI. We break down how memory enables continuity, code execution enables action, and planning allows agents to set and pursue long-term goals. Together, these elements allow AI agents to go beyond simple prompts and react intelligently to complex, evolving environments. Whether you're building enterprise agents or experimenting with AI workflows, this episode explores why MCP is essential for scalable, autonomous systems that think before they act.
No reviews yet