"How to use Bootstrap framework" matching MCP servers:

TypeScript stdio MCP server for operating Docker-based local-ydb deployments from AI coding agents. Supports local and SSH-backed profiles, bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.

Enables MCP agents to automate real GUI applications on headless desktops, providing background mouse/keyboard control, window/process management, screenshots, and safe human handoff without disturbing the user's desktop.

A Model Control Protocol server implementation that allows Claude Desktop to use Deepseek models running in Docker, enabling seamless integration between Claude Desktop and Deepseek's language models.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.

MCP server for Talos Linux cluster operations, providing typed actions for cluster configuration, bootstrap, kubeconfig, and more via talosctl.

Enables AI coding agents to perform automated Blender UI testing, user-story validation, and computer-use workflows inside an isolated GPU-partitioned Windows 11 VM without disrupting the host desktop.

Enables safe Python code execution in isolated Docker containers through the AgentRun framework. Provides automatic container lifecycle management and comprehensive error handling for secure and reproducible code execution.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Provides programmatic access to Xcode functionality, enabling AI assistants to create, build, test, and manage iOS/macOS projects directly.

A Model Context Protocol server for the Hetzner Cloud API that enables natural language management of cloud infrastructure. Users can list, create, and modify servers, networks, volumes, and load balancers through MCP-compatible clients.

Enables interaction with the RunPod REST API to manage GPU pods, serverless endpoints, templates, network volumes, and container registry authentications through natural language.

Enables natural language management of Latitude.sh infrastructure, allowing users to list, create, and delete servers, projects, and SSH keys through MCP-compatible clients.

Enables AI assistants to manage VNG Cloud infrastructure including compute, storage, networking, and Kubernetes resources through natural language commands.

MCP server that exposes fleet-aware KVM primitives for AI agents to control TinyPilot devices, including screen capture, keyboard input, mouse events, and device selection.

A MCP server that enables LLMs to interact with iOS simulators through natural language commands.

Enables AI assistants to manage Massed Compute GPU instances, including browsing inventory, launching and managing VMs, and auditing billing.

Enables AI agents to safely test and debug PowerShell, CMD/BAT scripts, and system utilities inside isolated Hyper-V virtual machines, with snapshot rollback, host-to-guest file transfer, PowerShell Direct execution, and autonomous self-correction on failures.

An MCP server that enables AI assistants like Claude to manage Unraid servers through natural language. Install it from Community Applications and control your homelab from any MCP-compatible AI client.

A remote MCP bridge that lets MCP clients use Modal sandboxes for Linux execution, dependency installation, Git operations, GPU jobs, and invoking deployed Modal Functions.