We just shipped something that changes how AI agents work with your infrastructure data. The CloudQuery MCP server lets any AI agent directly query your cloud asset inventory using natural language.
Your existing CloudQuery data now powers Claude Desktop, Cursor, and custom workflows to generate real dashboards, tables, and reports from your actual infrastructure data.
How teams are already using it:
- Security teams asking “Show me all EC2 instances with public IPs that don’t have security groups restricting SSH access” and getting automated reports with visualizations
- FinOps teams combining security posture with cost analysis: “Generate a table showing which S3 buckets lack encryption, include their monthly costs.”
- Infrastructure teams are automating cleanup reports across all clouds with cost impact analysis
Getting started: Install from GitHub, connect to your existing CloudQuery instance, start asking questions in natural language. Works with any MCP-compatible environment.
The same comprehensive cloud inventory data powering your current analytics now works with your AI workflows. No additional setup required.
Resources:
- Read the full announcement: [AI for Analyzing Your Cloud Asset Inventory]
- MCP server documentation: [CloudQuery MCP Server Docs]
What workflows are you planning to build with this? We’re actively developing new capabilities based on your feedback.