<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM on Netdata</title><link>https://www.netdata.cloud/tags/llm/</link><description>Recent content in LLM on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 27 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Introducing the Netdata Cloud MCP Server</title><link>https://www.netdata.cloud/blog/netdata-cloud-mcp-server/</link><pubDate>Fri, 27 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-cloud-mcp-server/</guid><description>&lt;p>The Netdata Cloud MCP Server is now available — giving AI agents and assistants direct access to your Netdata through a single endpoint at &lt;code>app.netdata.cloud/api/v1/mcp&lt;/code>.&lt;/p>
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&lt;h2 id="ai-is-changing-how-we-monitor-infrastructure">AI Is Changing How We Monitor Infrastructure&lt;/h2>
&lt;p>If you&amp;rsquo;re an engineer in 2026, chances are AI is already part of your daily workflow, whether that&amp;rsquo;s a general-purpose assistant like ChatGPT, Claude, or Gemini that you bounce questions off, or a coding agent like &lt;a href="https://docs.anthropic.com/en/docs/claude-code">Claude Code&lt;/a>, &lt;a href="https://openai.com/index/codex/">Codex&lt;/a>, &lt;a href="https://www.cursor.com/">Cursor&lt;/a>, or &lt;a href="https://windsurf.com/">Windsurf&lt;/a> that writes and debugs code alongside you. These tools are incredibly powerful, but until now, they&amp;rsquo;ve been blind to what&amp;rsquo;s actually happening on your infrastructure.&lt;/p></description></item><item><title>LLM Monitoring Platform With Per-Second Visibility</title><link>https://www.netdata.cloud/solutions/use-cases/llm-monitoring/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/llm-monitoring/</guid><description>Real-time infrastructure monitoring for LLM deployments. Track GPU utilization, container resources, database performance, and system metrics with per-second granularity and ML-powered anomaly detection.</description></item><item><title>Netdata Implements MCP Protocol</title><link>https://www.netdata.cloud/blog/netdata-mcp-server/</link><pubDate>Wed, 18 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-mcp-server/</guid><description>&lt;p>&lt;strong>Update (February 2026):&lt;/strong> Netdata now also provides MCP via Netdata Cloud at &lt;code>app.netdata.cloud/api/v1/mcp&lt;/code> for infrastructure-wide access (Business/Homelab plan). See &lt;a href="https://learn.netdata.cloud/docs/netdata-ai/mcp">MCP documentation&lt;/a> for details.&lt;/p>
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&lt;p>We are excited to announce that Netdata has officially implemented the Model Context Protocol (MCP), joining the forefront of AI-powered infrastructure monitoring.&lt;/p>
&lt;p>By enabling direct connections between AI assistants and your data sources and tools, the Model Context Protocol is a new open standard that builds a crucial link between artificial intelligence and practical systems. Instead of the AI providing generic suggestions that don’t understand your environment, MCP enables it to communicate and then interact with your infrastructure data in real time.
Being among the first monitoring platforms to adopt this groundbreaking protocol, Netdata is at the forefront of intelligent observability. With the help of this integration, traditional monitoring becomes a dialogue that your entire technical team is able to participate in.
We encourage you to dive deeper into the technical foundations of MCP, explore &lt;a href="https://www.anthropic.com/news/model-context-protocol">Anthropic&amp;rsquo;s comprehensive&lt;/a> explanation, and discover how this protocol is reshaping the future of AI-data interaction.&lt;/p></description></item></channel></rss>