"Computer Aided Design" matching MCP connectors:

AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.

Massed Compute MCP — GPU inventory, VM lifecycle, billing, SSH keys, and setup recipes.

MCP server: solver auction across io.net / Akash / Render with signed receipts · Hive Civilization

AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.

The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.

Create and drive plori cloud agents and workflows over MCP; each agent has its own cloud computer.

InsideOut by Luther Systems — Agentic AI for cloud infrastructure design, setup, pricing, deployment, and active management. Generates Terraform for AWS and GCP. Hosted A2A agent — describe your application in plain language and InsideOut designs, costs, deploys, and manages production-ready cloud infrastructure.

Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more

GPU cloud platform — create, manage, and monitor instances, snapshots, SSH keys, and billing.