"How to fix SonarQube findings" matching MCP servers:

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.

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 gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.

Enables creation of ephemeral, polyglot development environments using Nix for on-demand execution of code with specific dependencies across Python, Node.js, Ruby, R, and Lua without cluttering the system.

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.

Enables AI clients to control an Android emulator via MCP, allowing tasks like tapping, typing, swiping, taking screenshots, and installing apps through natural language commands.

Enables local MCP access to attach to isolated backend environments, monitor runtime health/logs, check security posture, manage snapshots and diffs, audit events, and view sanitized remote inventory.

Enables natural language interaction with VMware SDDC Manager and vCenter APIs through MCP tools, allowing users to query workload domains, VMs, clusters, and more.

MCP server that provides AI agents with comprehensive access to VMware vSphere operations, including VM management, monitoring, and vSAN read-only monitoring, through a secure Docker environment.

Enables interaction with VMware SDDC Manager through natural language, exposing tools to list domains, check health, manage hosts, and more.