"A search engine for finding information and resources online" matching MCP servers:

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Enables AI assistants to control Unreal Engine via Remote Control API for game development automation, including asset management, actor control, level editing, animation, physics, visual effects, and cinematics creation through natural language.

Enables remote Docker management over SSH via a local MCP server, providing tools to manage containers, images, Compose, and system resources.

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

Enables AI assistants to manage Google Cloud Batch HPC jobs and Compute Engine VMs through conversational prompts, including submitting jobs, provisioning instances, and retrieving diagnostics.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

MCP server for managing Proxmox VE resources, VM/CT lifecycle, snapshots, backups, and clones via natural language.

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.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

Governed Kubernetes operations for AI agents with 15 MCP tools, audit logging, policy engine, and safety features.

Wraps the Docker Engine API as MCP tools for container and image management. Reduces token consumption by providing typed tools with default summaries and field selection.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

A Model Context Protocol (MCP) server for Proxmox Virtual Environment that enables AI assistants to manage virtual machines, containers, nodes, and resources through natural language interactions.

An MCP server for managing SearXNG instances, enabling configuration inspection, engine toggling, health checks, and container lifecycle control.

Read-only MCP server for Yandex Cloud resources including VMs, networks, disks, and more, with support for cloud/organization level access.

A server implementation that enables remote Python code execution in Unreal Engine environments, featuring automatic Unreal node discovery and management through a multicast network.

A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.

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

Enables inspection and operations on a local host through two action-router MCP tools, covering Docker daemon and container state, Compose projects, host information, allowlisted read-only command execution and file search, ZFS pools, and systemd journal logs.

A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.

MCP server for Hetzner. Enables managing cloud projects, account resources, and dedicated servers, with the entire REST API reachable through a searchable tool catalog.

A lightweight MCP server that enables natural language interaction with Kubernetes clusters, allowing management of pods, deployments, namespaces, and cluster resources through conversational queries or API endpoints.

Enables inspecting, orchestrating, and troubleshooting Docker Engine and Docker Compose environments through six consolidated high-leverage MCP tools.

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.

An MCP server for TrueNAS SCALE that enables read-first management of storage, system, sharing, and virtualization resources with per-user API key authentication, and optional write operations.

An MCP server that provides tools for creating and managing AWS resources using boto3, including EC2, S3, VPC, subnets, security groups, and RDS.

Enables interaction with Proxmox VE for managing VMs, containers, storage, and cluster resources via natural language through the Model Context Protocol.

Provides Docker container creation and image pulling via the Docker Engine API, with safety guardrails against privileged operations and network exposure.

Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.

Enables management of AutoDL GPU resources including instance lifecycle, balance queries, elastic deployments, and notifications through typed MCP tools.