"Setting up services on a Linux virtual machine" matching MCP servers:

A FastMCP server that provides virtual try-on functionality through the Replicate API, allowing users to visualize how clothing items would look on models.

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

Create videos and images using Luma AI, this MCP server handles all API functionality for Luma Dream Machine from Claude Desktop.

AI-powered virtual staging for real estate professionals: stage empty rooms with photorealistic furniture, beautify floor plans into 3D renders, classify rooms, generate German property descriptions, and get style recommendations.

An MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.

ByteDance Seedream AI image generation and editing (style transfer, background change, virtual try-on) with multiple models, multi-resolution up to 4K, and streaming delivery.

Enables AI agents to capture high-quality screenshots from running QEMU virtual machines using the QEMU Machine Protocol (QMP), automatically discovering VMs and returning screenshots as PNG images.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

A TypeScript-based MCP server that implements virtual try-on capabilities using the HeyBeauty API, allowing users to visualize how clothes would look on them through Claude.

Enables scanner capture via SANE on Linux, providing tools for device discovery, scan jobs with ADF/duplex support, document batching, and multipage assembly through a local MCP server.

Nectar is a stdio MCP server for Pollinations image and video generation. It gives MCP clients a small, focused toolset for generating images, editing images, generating videos, listing available image/video models, and checking pollen balance.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

MCP server that connects an AI assistant to a running ComfyUI instance, allowing it to fetch saved workflows, inject a prompt and seed, run generation, and return the image inline in chat.

Enables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.

Post AI-generated images to Vynly, the AI-only social feed. Four tools for posting, reading, searching, and ephemeral sparks — auto-claims a demo token on first run so it works with no signup.

Provides MCP-compatible AI agents with a verify_image tool to check a photo's capture time and provenance using C2PA, EXIF, XMP metadata, and pixel forensics, returning a verdict and confidence score.

Enables AI image generation and editing using Google's Nano Banana model via the AceDataCloud API. It supports creating images from text prompts, virtual try-ons, and product placement directly within MCP-compatible clients.

Give text-only LLM agents eyes by describing images through a vision-language model via MCP or CLI.

Composes ~30-second tech-illustration videos from a fixed library of Remotion components, renders them to MP4, and returns shareable URLs.

Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.