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    <title>topic 📚 Understand the latest AI revolution: Agentic AI, Model Context Protocol (MCP) and all that jazz in AI</title>
    <link>https://community.dynatrace.com/t5/AI/Understand-the-latest-AI-revolution-Agentic-AI-Model-Context/m-p/277325#M5</link>
    <description>&lt;P&gt;&lt;EM&gt;Summary:&amp;nbsp;This article explains the concepts of Agentic AI, Model Context Protocol (MCP), and how they influence AI operations. It highlights how Dynatrace enables visibility, governance, and performance insights into AI-driven workloads.&lt;/EM&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;By now, everyone is aware of generative AI fueled by large language models (LLMs) and generative pre-trained transformers (GPTs). The next level of innovation is&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;agentic AI&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;and the autonomous AI agents that drive it. Using Model Context Protocol (MCP) to facilitate agent-to-agent communication, these systems are revolutionizing how enterprises automate tasks and orchestrate complex workflows.&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;Powered by LLMs, vector databases, retrieval augmented generation (RAG) pipelines and additional tools, these AI agents are expanding extensively, giving rise to multi-agent systems, cross-agent protocols, and context-sharing standards. But these autonomous agents also introduce new challenges in monitoring, debugging, and security.&lt;/P&gt;
&lt;P&gt;Go to the &lt;A href="https://www.dynatrace.com/news/blog/agentic-ai-how-mcp-and-ai-agents-drive-the-latest-automation-revolution/" target="_blank" rel="noopener"&gt;&lt;STRONG&gt;Dynatrace BLOG POST&lt;/STRONG&gt;&lt;/A&gt; where we’ll examine in detail the fundamentals of AI agents, models, and the emerging standards that help them communicate, like&amp;nbsp;Agent2Agent (A2A)&amp;nbsp;and&amp;nbsp;Model Context Protocol (MCP).&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;BR /&gt;Key takeaways:&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL class=""&gt;
&lt;LI&gt;&lt;STRONG&gt;Autonomous AI agents are the backbone of agentic AI&lt;/STRONG&gt;. These services combine to deliver adaptable automated tasks.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;AI agents depend on LLMs and orchestration logic&lt;/STRONG&gt;. These technologies maintain the agent’s state, session memory, context, and reasoning strategies.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Agents depend on protocols, such as A2A and MCP, to effectively communicate&lt;/STRONG&gt;. Models and agents need these protocols to manage multi-agent communication.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;- - -&lt;BR /&gt;Links:&lt;BR /&gt;&lt;A href="https://www.dynatrace.com/news/blog/agentic-ai-how-mcp-and-ai-agents-drive-the-latest-automation-revolution/" target="_self"&gt;Understand the latest AI revolution: Agentic AI, Model Context Protocol (MCP) and all that jazz&lt;/A&gt;&amp;nbsp;blog post&lt;BR /&gt;&lt;A href="https://github.com/dynatrace-oss/dynatrace-mcp" target="_blank" rel="noopener"&gt;Dynatrace MCP server on GitHub&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 18 Mar 2026 11:41:10 GMT</pubDate>
    <dc:creator>kristofmuhi</dc:creator>
    <dc:date>2026-03-18T11:41:10Z</dc:date>
    <item>
      <title>📚 Understand the latest AI revolution: Agentic AI, Model Context Protocol (MCP) and all that jazz</title>
      <link>https://community.dynatrace.com/t5/AI/Understand-the-latest-AI-revolution-Agentic-AI-Model-Context/m-p/277325#M5</link>
      <description>&lt;P&gt;&lt;EM&gt;Summary:&amp;nbsp;This article explains the concepts of Agentic AI, Model Context Protocol (MCP), and how they influence AI operations. It highlights how Dynatrace enables visibility, governance, and performance insights into AI-driven workloads.&lt;/EM&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;By now, everyone is aware of generative AI fueled by large language models (LLMs) and generative pre-trained transformers (GPTs). The next level of innovation is&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;agentic AI&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;and the autonomous AI agents that drive it. Using Model Context Protocol (MCP) to facilitate agent-to-agent communication, these systems are revolutionizing how enterprises automate tasks and orchestrate complex workflows.&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;Powered by LLMs, vector databases, retrieval augmented generation (RAG) pipelines and additional tools, these AI agents are expanding extensively, giving rise to multi-agent systems, cross-agent protocols, and context-sharing standards. But these autonomous agents also introduce new challenges in monitoring, debugging, and security.&lt;/P&gt;
&lt;P&gt;Go to the &lt;A href="https://www.dynatrace.com/news/blog/agentic-ai-how-mcp-and-ai-agents-drive-the-latest-automation-revolution/" target="_blank" rel="noopener"&gt;&lt;STRONG&gt;Dynatrace BLOG POST&lt;/STRONG&gt;&lt;/A&gt; where we’ll examine in detail the fundamentals of AI agents, models, and the emerging standards that help them communicate, like&amp;nbsp;Agent2Agent (A2A)&amp;nbsp;and&amp;nbsp;Model Context Protocol (MCP).&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;BR /&gt;Key takeaways:&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL class=""&gt;
&lt;LI&gt;&lt;STRONG&gt;Autonomous AI agents are the backbone of agentic AI&lt;/STRONG&gt;. These services combine to deliver adaptable automated tasks.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;AI agents depend on LLMs and orchestration logic&lt;/STRONG&gt;. These technologies maintain the agent’s state, session memory, context, and reasoning strategies.&lt;/LI&gt;
&lt;LI&gt;&lt;STRONG&gt;Agents depend on protocols, such as A2A and MCP, to effectively communicate&lt;/STRONG&gt;. Models and agents need these protocols to manage multi-agent communication.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;- - -&lt;BR /&gt;Links:&lt;BR /&gt;&lt;A href="https://www.dynatrace.com/news/blog/agentic-ai-how-mcp-and-ai-agents-drive-the-latest-automation-revolution/" target="_self"&gt;Understand the latest AI revolution: Agentic AI, Model Context Protocol (MCP) and all that jazz&lt;/A&gt;&amp;nbsp;blog post&lt;BR /&gt;&lt;A href="https://github.com/dynatrace-oss/dynatrace-mcp" target="_blank" rel="noopener"&gt;Dynatrace MCP server on GitHub&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Mar 2026 11:41:10 GMT</pubDate>
      <guid>https://community.dynatrace.com/t5/AI/Understand-the-latest-AI-revolution-Agentic-AI-Model-Context/m-p/277325#M5</guid>
      <dc:creator>kristofmuhi</dc:creator>
      <dc:date>2026-03-18T11:41:10Z</dc:date>
    </item>
    <item>
      <title>Re: 📚 Understand the latest AI revolution: Agentic AI, Model Context Protocol (MCP) and all that jazz</title>
      <link>https://community.dynatrace.com/t5/AI/Understand-the-latest-AI-revolution-Agentic-AI-Model-Context/m-p/277327#M6</link>
      <description>&lt;P&gt;Thanks&lt;a href="https://community.dynatrace.com/t5/user/viewprofilepage/user-id/83924"&gt;@kristofmuhi&lt;/a&gt;&amp;nbsp; I was thinking of writing something about this in the community.&lt;/P&gt;</description>
      <pubDate>Thu, 15 May 2025 16:18:08 GMT</pubDate>
      <guid>https://community.dynatrace.com/t5/AI/Understand-the-latest-AI-revolution-Agentic-AI-Model-Context/m-p/277327#M6</guid>
      <dc:creator>DanielS</dc:creator>
      <dc:date>2025-05-15T16:18:08Z</dc:date>
    </item>
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