"Understanding Vector Search" matching MCP servers:

A free native MCP server for running, understanding, and debugging Linux containers on macOS using Apple's container tool, with audit trail and configurable safety modes.

A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

Enables AI coding assistants to search local log files, inspect Docker containers, and clean up JSON payloads through a local stdio MCP server.

Enables AI assistants to run shell commands, read, write, edit, search, and stream files on remote SSH servers and Docker containers, including nested multi-layer chains, without installing any runtime on the target hosts. It auto-injects a self-contained Go helper with adaptive zstd compression for fast transfers and process control.

Enables AI coding agents to reverse engineer an operating system from its ISO and rebuild it component by component, exposing 39 tools over stdio for ISO fingerprinting, sandboxed QEMU VM lifecycle, PE analysis, API-surface dumps, syscall tracing, behavior diffs, component scaffolding, compat shims, app-compat testing, and knowledge-base search. It lets an agent survey a reference OS, generate clean-room specs and code, boot the rebuild, and test real applications against it.

Enables any MCP client to manage an fnOS NAS through natural language, covering authentication, files, AI photo search, app center, Docker, downloads, logs, monitoring, network, power, storage, users, and Baidu Netdisk via 83 tools. Built on FastMCP with bundled trim-cli binaries and OAuth 2.0 + PKCE login, it also exposes raw API passthroughs as a fallback.

Enables LLMs to search Docker Hub repositories, discover container images, and manage Docker Hub repositories and tags through natural language queries. Supports both public content access and authenticated operations with Docker Personal Access Tokens.

Enables server operations and AI application deployment via 16 MCP tools, including container management, disk diagnostics, and GitHub repository search with one-click deployment, through natural language.

An MCP server that lets agents such as Claude, Cursor, and Codex operate a CapRover server, installed with npx or Docker and defaulting to a readonly safety mode. It is planned to expose the CapRover API as named tools and as Code Mode search/execute operations, with access modes and confirmation for destructive calls.

Domain Name MCS server from OSIR, an ICANN-accredited registrar: 105 tools and 11 prompts to search, register, renew, transfer, and manage domains, DNS, VPS, email, and websites from Claude, ChatGPT, Cursor, or any MCP client

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.

Enables MCP clients to control emulated and physical MSX computers through openMSX automation or a hardware agent, including screen reading, BASIC input, memory/VRAM access, file transfer, and documentation search.

MCP server that discovers Korean e-Government and financial websites and launches them in a clean disposable Windows Sandbox (or macOS macSandbox) without requiring security software installation. It handles search and sandbox execution, leaving authentication and actual tasks to the user.

Enables AI assistants to search, analyze, and manage Docker images on Docker Hub through standardized MCP tools, with features including security scanning, layer analysis, and image comparison.

A Model Context Protocol server for home infrastructure management that provides a unified API for Docker and Emby. It enables users to monitor containers, manage media sessions, and search libraries through an extensible adapter-based architecture.

Enables users and AI assistants to search LinuxServer.io images, audit Compose and docker run configurations, research image requests, validate service specifications, generate Dockerfile/Compose/README scaffolds, and access guidance and best-practice checklists.

A production-ready Model Context Protocol (MCP) server that provides comprehensive DockerHub integration for AI assistants. This server enables AI assistants to search, analyze, and manage Docker images through standardized MCP tools.