Hey everyone. I'm Matan from DoiT here to introduce the DoiT Cloud Intelligence remote MCP server. Now you can ask questions about your real time cloud costs and usage using everyday language through AI assistants like Claude, Cursor, and ChatGPT. For example: "Which services drove my biggest cost increases this month?" Or "What's causing my EC2 spending to Spike?" Or "Do we have any active cost anomalies?" So how is DoiT's MCP server different from what you might get from AWS or other cloud providers? Number one, you can ask questions about your entire cloud estate, including AWS, Google Cloud, Azure, and even SaaS tools. You integrate with DoiT Cloud Intelligence like Snowflake, OpenAI, Databricks, or Datadog. Plus, because DoiT supports real-time cost anomalies, you can ask your favorite AI assistant about anomalies and the root causes as they happen without waiting for billing files to update. And this is something that native MCP servers don't handle today. Finally, if you're on a commitment agreement, DoiT's MCP server will provide you accurate spend information that match your contractual discounts even better. You can connect this cost data with business context from other tools that have MCP servers like Jira, Slack, and GitHub. This gives you the complete story behind your spending. Because when you're trying to understand why costs went up or down and whether that's good or bad, looking at just cost data gives you an incomplete picture. You're missing the business decisions, deployments, project changes, or conversations documented in other systems that actually explain what drove those cost movements. This means you're either taking the wrong action on spending or wasting time manually gathering context, delaying the action you need to take. For example, let's say you ask Claude whether you have any active cost anomalies, you notice a particularly expensive Vertex AI spike and want to know whether there's useful information in other tools your team uses, that could explain whether it's a legitimate increase or something actually concerning. Using DoiT's MCP server transforms how you respond to changes in cloud spending. Instead of delayed, uninformed decisions you can take immediate confident action. And you're backed by complete business context, not just fragmented cost data. And now everyone across technical and non-technical roles can participate in cloud cost optimization and get the answers they need from their cloud cost data. That's it for today. For more information about our remote MCP server or DoiT Cloud Intelligence as a whole, visit DoiT dot com.
