"Official GitHub Website or Account" matching MCP servers:

Give your AI app any GitHub link and the job you want done. UGT gets the project running on your computer and hands you the result.

Let your AI build and run a whole app on your computer: an online shop, website, booking app or AI helper. It creates the parts, starts them, checks they work and fixes problems.

A Model Context Protocol server integrating DevOps tools for GitHub, Docker, and filesystem operations.

Official Portainer MCP server

Enables coding agents to deploy Next.js apps and provision Postgres, Redis, MinIO, NATS, Mailpit, and nginx locally via Docker without requiring Vercel or Supabase signups, using a single account and reading logs from the same environment.

Connects AI assistants to Linode cloud infrastructure, enabling the management of compute instances, databases, and networking resources through natural language. It provides a comprehensive suite of tools for resource orchestration, monitoring, and account management using stdio, SSE, or HTTP transports.

Manages Proxmox VE clusters through the official PVE API with 22 tools for cluster status, VMs/containers, storage, snapshots, and provisioning. Supports stdio or HTTP/StreamableHTTP transports with optional OAuth for Gemini and multi-server configurations.

Install and manage a self-hosted XNS Relayer — S3-compatible distributed object storage — conversationally over stdio. 15 tools cover prerequisites, account registration, install, claim, health, VPD configuration, S3 verification, CLI credentials, settings, restart, and backups.

VMware workflow orchestration — multi-step state machine with approval gates, audit logging, and conditional execution. Coordinates cross-skill workflows like clone-and-test or compliance-scan-and-remediate across the VMware MCP skill family.

Read-only MCP server to list your SkyNode servers and check their status (IP, state, region, expiry). It does not modify or control servers.

More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.

Enables AI agents to run untrusted, model-generated Python code in a locked-down throwaway Docker container with enforced isolation and resource limits. Supports starting, checking, and stopping asynchronous runs while returning structured status reports without exposing the host, network, or Docker controls.

A read-only server that enables AI agents to triage Kubernetes CronJobs in a single tool call: whether runs happened and stayed on schedule, whether durations are trending slower or overrunning, which jobs have silently stopped succeeding, and why a given run failed, with evidence and stated basis for each verdict. It also lists active runs and recent failures while enforcing namespace allowlists and no write access.

MCP-native infrastructure ops for deploying and managing self-hosted OpenClaw instances across cloud providers or local VMs, with read-only mode, destructive-action confirmation, and audit logs.

An MCP server that lets AI agents run PHP unit and integration tests inside Docker containers without local PHP or Composer.

Read-only MCP adapter for the Dockhand REST API, enabling secure querying of container environments, networks, stacks, and runtime status via STDIO or authenticated HTTP.

Enables MCP-capable agents to manage Meshive GPU Cloud resources, including account, workspaces, pods, storage, GPUs, templates, serverless deployments, tasks, assets, machines, and billing history.

Lets AI agents read what Kubernetes containers were doing right before they were OOMKilled or crashed: Java heap histograms and Go heap profiles taken before the kill, logs of the dead instance, and core dumps matched to the pod. Read-only tools to list captures, read summaries and raw evidence, and see which containers are near their memory limit now.

Read-only MCP server that allows AI assistants to query and monitor KVM Fleet devices, audit logs, and console sessions through the official REST API.

No-KYC crypto VPS hosting with an MCP server that lets AI agents provision VPS programmatically. Pay with USDC/USDT on Base and Ethereum, no accounts or verification required.

Enables control of GNS3 network lab automation, including projects, nodes, consoles, and SSH, through Claude Desktop or any MCP-compatible client.

Provides tools to list, create, power on/off, and delete VMs on vCenter or ESXi hosts using natural language.

Private MCP server exposing the ascii Box API as shell and file tools, letting agents like ChatGPT or Claude drive Linux boxes.

An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.

Enables AI agents to see and drive Kasm Workspaces desktops by starting and stopping sessions, taking screenshots, and performing clicks, typing, key presses, and scrolling through MCP clients or as a native Hermes Agent plugin.

MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo.

MacOS MCP server to discover, control, automate, and inspect Parallels virtual machines over standard MCP stdio. Requires Parallels Pro or Business Edition subscription.

Lets an AI assistant check on a ZimaBlade or any Docker host over plain SSH (load, top processes, container stats, logs, disk) and restart only allowlisted containers. Nothing to install on the box.

Enables an AI agent to boot and control an Android emulator — tapping, typing, scrolling, inspecting screens, reading logs and installing APKs — and to record those interactions as replayable, CI-ready test flows. Actions are captured by element text or id rather than coordinates, so the saved tests survive layout changes and rerun without the agent.

Nido is a local QEMU VM manager. Install it on your computer from https://github.com/Josepavese/nido and run nido mcp via stdio, or use npx -y nido-mcp@latest mcp with QEMU installed locally. It manages VMs on that same computer; a server hosted by Glama cannot access your local VM inventory.