"Retrieving Markdown Files from a Database" matching MCP connectors:
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Does that Docker tag actually exist? Real tags, sizes and platforms, live from Docker Hub.
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.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Vietnam VPS via VietQR — create a machine and put an app online.
Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
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.
Manage Hostodo VPS infrastructure from MCP clients and AI agents with scoped tokens and audit logs.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.
A paid remote MCP for HyperFrames, built to return verdicts, receipts, usage logs, and audit-ready J
