"A Python server using FastAPI to expose public web API endpoints to an agent" matching MCP connectors:

Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.

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.

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.

mcpA

com.fadehost

Manage FadeHost game servers, Discord bots and VPS: console, stats, backups, logs, lifecycle.

Edge NetworkA

network.edge

Deploy and manage Edge Network cloud: sites, VMs, storage, DNS, Shield, Assist. Agent self-signup.

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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.

mcpA

cloud.redu

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.