"Information about agents or agent-related topics" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
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.
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.
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.
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
Flags idle agent sandboxes (E2B, Vercel, Daytona, Modal), shows idle cost, returns kill calls.
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.
OCI image reference shape, name discarded
Vagrant config block count, body discarded
Helm chart.yaml name shape, body discarded
Agent-native cloud, EU-hosted. Provision VMs, networks & databases on redu.cloud via MCP.
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.
Container image tag charset, name discarded
Kubernetes kind token, manifest discarded
Packer source block count, body discarded
Compose service count, body discarded
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
Cloud Android phones for AI agents: create a phone, read the screen, tap, type, install APKs, park.
Cloud iOS simulators and Android emulators your agent can create, drive, and throw away.
Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.
Manage Hostodo VPS infrastructure from MCP clients and AI agents with scoped tokens and audit logs.
Find services by server; explicitly build, publish and update components or source with Hostwatch.
Cloud desktops for AI agents: create a Linux computer, see its screen, click, type and run tasks.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
Official remote MCP server for Buddy. Lets AI coding agents manage Buddy workspaces end to end: create and run sandbox VMs and execute commands in them, build, run and approve pipelines and read their logs, run commands on deployment targets, host apps and distributions, manage Git repositories, branches and commits, environments, artifacts, and search, buy or claim domains. Authentication via OAuth or personal access token.
Your agent ships the app. Alerts, logs, project memory and approval-gated deletes come with it.
