"How to add photo generation to an MCP system" matching MCP servers:

Enables monitoring of Ubuntu system metrics, Docker containers, and public IP drift, with Feishu alerting and HTTP/MCP tools for querying status, viewing history, and restarting containers.

System Initiative provides AI Native Infrastructure automation that gives you clarity over your running infrastructure, control to change, automate, and integrate it, with conifdence

Provides 180+ tools for full system control including terminal, Git, Docker, Kubernetes, VMs, BIOS, kernel, cybersecurity, AI, and cloud, designed to work with MCP clients like Cursor and Claude Desktop.

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 AI assistants to interact with local Docker containers, Kubernetes clusters, and system logs using the Model Context Protocol.

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.

Enables comprehensive DevOps infrastructure management through tools for Jenkins, Ansible, Terraform, Kubernetes, and Docker operations. Features a sophisticated memory system for context retention and provides validation, generation, and optimization capabilities across DevOps workflows.

Exposes Arcane's Docker-management API (containers, images, volumes, networks, Compose projects, environments, system) as MCP tools over Streamable HTTP, with automatic tool generation from the live OpenAPI spec and confirmation for destructive operations.

Enables AI agents to manage a homelab by providing tools for Docker, Ollama, and system monitoring through the Model Context Protocol.

A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.

An MCP server for interacting with Azure. Contains some common Compute and Networking actions, and extensible to add many more.

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 exposes a Synology NAS through the official DSM WebAPI, covering File Station, Download Station, Synology Photos, Container Manager, and system management with curated tools and a generic bridge for other APIs.

Enables MCP clients to inspect and manage an OpenMediaVault host and its Debian system, Docker Compose stacks, containers, images, volumes, networks, and other OMV plugins through the official RPC API. It starts read-only and lets administrators opt into sensitive, write, and destructive operations through environment tiers.

Enables Claude to inspect and troubleshoot a Synology NAS, including system health, storage, Docker containers and logs, Watchtower updates, backups, security scans, and permitted files, in a read-only configuration.

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

Provides programmatic access to Apple's container CLI tool on macOS, enabling users to perform 50+ container operations including creation, management, and system control of Apple Silicon containers.

Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.

Enables AI agents to manage Docker containers through a secure MCP interface, supporting container lifecycle operations, log inspection, resource monitoring, and system diagnostics with role-based access control.

Enables LLMs to securely manage Virtual Private Servers via SSH, with features including command execution, file operations, system monitoring, and service management.

Connects AI assistants to NVIDIA Jetson Nano systems for edge computing management, enabling natural language control of AI workloads, hardware optimization, and system administration tasks.

Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.

An MCP server designed to help AI models refactor Kubernetes configurations by analyzing Kustomize dependencies and rendering manifest diffs across environments. It provides tools for computing file dependencies, rendering overlays, and comparing configuration changes through a checkpointing system.

Enables AI assistants to manage Unraid OS via Docker, system calls, and file system access for automating array, share, and container operations.

Enables AI agents to control RoboDK robotics simulation software, allowing them to manage stations, add robots, and inspect station hierarchies through natural language commands.

Enables MCP clients to inspect Synology NAS system, storage, and utilization, and manage Docker containers via the Synology Web API with automatic session handling.

A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.

An MCP server that gives an agent full cross-VM management of a Qubes OS system via dom0 qrexec, bounded by an explicit VM allowlist for security.

Enables Claude to inspect and manage Docker containers locally, including listing containers, fetching status and logs, and checking system health. It also supports safely restarting whitelisted containers through a two-step confirmation flow with an audit trail.

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.