We’re excited to share that several new capabilities are now live in Amnic, focused on improving cloud cost analysis, infrastructure visibility, and execution workflows.

New Integrations

MCP Server

MCP Server support is now available, allowing you to connect Amnic’s cloud cost intelligence directly into AI tools like Claude Desktop/Code, Cursor, VS Code, and custom agents.

Apart from leveraging Amnic’s native Amnic AI, teams can bring their own LLM to ask natural language questions about spend, anomalies, and optimization opportunities directly inside their workflows: 

Jira Cloud Integration

Our Jira Cloud integration lets you convert anomalies and recommendations into Jira issues. Amnic now supports one-click ticket creation as well as optional automated ticket creation from alerts, helping teams track remediation using their existing Jira processes.

Redis Integration

Amnic now supports Redis as a third-party integration, allowing customers to bring Redis usage and metadata into Amnic for more complete cost and infrastructure analysis.

With this integration, customers can get into the nuanced costs associated with their Redis spend, within the Amnic console. 

Inventory Management (Limited Beta)

Amnic’s Inventory Management function has just gone live for an early test cohort. This feature provides a graph-backed view of cloud infrastructure with flexible DSL-based querying, dependency exploration, and reusable saved queries. The feature covers a wide range of operational, cost, and security use cases. For example:

• Cost Optimization: Orphaned EBS volumes, unassigned IPs, leftover EC2 snapshots, overprovisioned/idle assets

• Security & Compliance: Public EC2 instances, unencrypted S3 buckets, open security groups, resources missing governance tags

This capability is currently in limited beta. To enable it for your organization, please contact our support team. Check out what's new today!