"Creating custom experimental images in Docker" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Manage your own cloud with AI: deploy apps, push and ship custom Docker images, run territories, read logs, and manage backups/billing via scope-limited API keys.
Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.
Does that Docker tag actually exist? Real tags, sizes and platforms, live from Docker Hub.
Hosting for AI agents: your AI client deploys Docker apps to live HTTPS URLs over MCP.
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
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.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
Rent offshore VPS, dedicated, RDP and GPU servers in 7 jurisdictions; crypto-only, no KYC
- briqOAuthcloud.briq
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
Persistent Linux computers for AI agents: desktop, signed-in browser, vault, apps and shell.
Order, configure and deploy Docker containers and PostgreSQL or SQL Server databases in the EU.
Korean cloud for AI agents — create servers, deploy Docker apps, manage domains, call 300+ AI models