"A map or mapping service" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Confidential computers for AI swarms: sealed VMs (Intel TDX) by the hour, USDC over x402.
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
Search 600+ Docker/Portainer app templates and prepare a local deploy plan.
The Dockyard catalog describes ready-made Docker apps. Once you add this MCP server, your agent can find an app and deploy it for you: in local Docker or in your own Portainer.
Manage game servers, configurations, players, and groups through the GameServerApp MCP server.
Servers for agents, rented by the month: Linux with root and a public IPv4. Pay per call.
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.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
Register, renew, transfer, and manage domains, DNS, VPS, and email with 106 tools. By OSIR.
Manage FadeHost game servers, Discord bots and VPS: console, stats, backups, logs, lifecycle.
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
Deploy and manage Edge Network cloud: sites, VMs, storage, DNS, Shield, Assist. Agent self-signup.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
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Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
Provides read access to your GKE and Kubernetes resources.
Deploy applications to Cloud Run
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
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.
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Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
List Civo instances, Kubernetes clusters, networks and DNS; reboot instances, add rules.
Inspect Exoscale: instances, volumes, SKS, DNS, IPs, quotas and usage; start, stop, reboot VMs.
