Google's ADK + MCP = The Future of AI Agents - Vidnexa
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Google's ADK + MCP = The Future of AI Agents

3.1K views • 4 months ago • Animation
6 Comments
@pashamekambaram
@@pashamekambaram 4 months ago
Nicely explained what an AI agent is.
@BStrick75
@@BStrick75 4 months ago
These discussions about, &quot;will AI take my job&quot;, need to be had with the employers... not the employees. I keep hearing that &quot;Developers are more important now than ever before&quot;; while at the same time, the job market looks anemic with little sign of getting better in the near future. <br><br>tl;dr; <br><br>these discussions are trying to convince the wrong groups of people.
@SairaIjaz-m6k
@@SairaIjaz-m6k 4 months ago
Great breakdown of the agent infrastructure landscape—ADK + MCP are definitely shaping how agents interact with external systems. The real challenge most teams face is moving from these architectural foundations to reliable, multi-step execution across apps without constant hallucinations or failures. Barie&#39;s built specifically for that gap, combining deep research accuracy with agentic workflows that actually execute reliably across your connected tools.
@KhanBhai-tt8cm
@@KhanBhai-tt8cm 4 months ago
Very useful discussion ❤
@RJay-x9h
@@RJay-x9h 5 months ago
I’ve been seeing more of these “agent-first” discussions lately… and it actually reminds me a lot of genealogy work 😅 you’re constantly acting like an “agent” yourself—reasoning through family relationships, switching between tools to search archives, and validating details across different records. At Lifewood Data Technology, we’ve noticed similar patterns in data workflows too—when systems start behaving like agents that can query, verify, and connect information across datasets, the key challenge becomes keeping everything consistent, traceable, and reliable across the entire process.
@MyAIGirl
@@MyAIGirl 5 months ago
PayPal is perhaps the worst technology company in Silicon Valley.