"A server to manage API rate limiting based on requests per minute" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Search 600+ Docker/Portainer app templates and prepare a local deploy plan.
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
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.
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.
Manage your own cloud with AI: deploy apps, push and ship custom Docker images, manage resources via your AI agent.
Create and manage VMs, managed databases, firewalls and load balancers in Montréal, Canada.
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.
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.
