"A tool for extracting text from videos" 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.
Hosted MCP for Celesto cloud computers. Create, start/stop, exec, publish ports, and delete hardware-isolated sandboxes over OAuth.
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.
No-KYC VPS + per-second code sandboxes AI agents run over MCP — 75 tools, SDK, pay BTC/XMR/USDC/USDT
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.
3D print farm management for AI. Monitor, queue, and control prints on your SimplyPrint account.
Contabo API (v1.0.0) as MCP tools for cloud provisioning, and management. Powered by HAPI MCP server
Linux microVM sandboxes for AI agents: run commands, files, processes, pause and wake.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
Cloud Android phones for AI agents: create a phone, read the screen, tap, type, install APKs, park.
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.
MCP server for Superserve sandboxes: create, exec, and manage Firecracker microVMs
Deploy anything that runs in a container and get a live HTTPS address. No account needed to start.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
Put what you make online, get comments on it, and give it a cloud computer when it needs one.
Vietnam VPS via VietQR — create a machine and put an app online.
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.
Cloud desktops for AI agents: create a Linux computer, see its screen, click, type and run tasks.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
Korean cloud for AI agents — servers, Docker apps with HTTPS, domains, scraping, 300+ AI models
