"Kubernetes cluster management with Argo CD GitOps" matching MCP servers:

Enables AI assistants to manage Cloudinary media assets, including uploading, searching, transforming, and organizing images and videos through natural language.

Enables AI agents to create and edit pixel art in a live Aseprite window, with tools for drawing, selection, transformation, and animation.

MCP server that exposes Google's Veo2 video generation capabilities, allowing clients to generate videos from text prompts or images.

MCP server that lets AI assistants control Adobe After Effects via natural language, enabling composition and layer creation, animation, effects, presets, rendering, and arbitrary ExtendScript execution with Arabic/RTL support.

Enables Claude to analyze reference videos (download, transcripts, frames) and generate new branded Instagram Reels/YouTube Shorts as React/TSX compositions, rendered to MP4 via Remotion.

MCP server that lets AI assistants like Claude or Cursor extract structured data (e.g., invoices) from images and PDFs via Vision API, with tools for analysis, questions, and preset management.

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.

An MCP server that enables AI agents to search, retrieve, and curate free stock photos and videos from Pexels, with tools, resources, and prompts for easy integration.

Enables drawing commands to be rendered into raster images, supporting shapes like lines, rectangles, circles, ellipses, and triangles, with results returned as inline PNGs or saved to files.

Enables MCP clients to generate images and iteratively edit them using OpenAI's gpt-image-2 models, with session management, background job polling, and local file saving.

Zero-dependency MCP server that equips text-only LLMs (e.g., DeepSeek) with vision by converting images to text descriptions via OpenAI-compatible vision APIs, exposing an img2text tool with multi-provider fallback.

Enables Claude Code and Claude desktop to generate AI videos and images through Dare, with credit cost estimation, reference uploads, and generation management billed to the user's Dare credits.

Enables AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.

This MCP server enables image analysis through a single tool that supports multiple vision models and API providers, with automatic failover and persistent state management.

Local stdio MCP service that calls GPT Image API to generate images from text, edit images with references or masks, and save images locally while returning absolute paths and file URIs.

Enables engraving LilyPond sources into cropped, self-contained EPS, PDF, SVG, and PNG assets for placement in page-layout software, with support for files or inline code and helpful diagnostics on failure.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

MCP server that generates images using Gemini 3 Pro Image on Vertex AI, with support for reference images, task management, and GCS integration.

An MCP server that enables AI agents to inspect, validate, and preview VRM/VRMA 3D avatar files locally, with tools for metadata extraction, validation, and rendering snapshots or animations via headless Chrome.

Enables AI agents to generate images and videos via the Corent API with automatic model routing, provider fallback, and tools for planning, creation, and balance management.

A FastMCP server for the Animagine XL 4.0 image generation experience that provides tools for prompt validation, optimization, and explanation. It also enables the management of local checkpoints and LoRAs to streamline diffusion workflows and ensure consistent prompt structure.

A macOS utility that captures screenshots and analyzes them with AI vision, enabling AI assistants to see and interpret what's on your screen.

Enables AI agents to batch-optimise whole image folders, picking the format, size and quality for each image individually. Each output is the smallest file that still meets an SSIMULACRA 2 visual-quality target, with responsive srcset markup and untouched originals.

Enables capturing website screenshots with configurable options (format, style, full-page, viewport, delay, dark mode) and checking account balance, directly from any MCP-compatible client.

Enables Claude and other MCP clients to create and edit vector artwork inside a running Graphite editor, turning SVG into fully editable native layers and supporting export, styling, transforms, selection and layer management. Every operation is delivered as a regular editor message, so undo, selection and the Layers panel behave exactly as with manual edits.

Universal MCP server for generating word clouds using ShapeWords, enabling creation of SVG, JSON, or PNG word clouds from text with extensive customization options.

Lets agents directly read and edit the live ComfyUI canvas in a browser while retaining official Comfy MCP headless tools and local management.

Write and read PDF documents via MCP: generate PDFs from HTML, URLs, or templates, and extract text from PDFs with OCR support.

An MCP server that captures screenshots of URLs or local app windows and analyzes them with a local Ollama vision model, enabling Claude to visually inspect web pages and desktop applications without sending image data externally.

Identifies plants from photos and determines whether a species is native, introduced, or invasive in a given country, drawing on GBIF, GRIIS, and GISD data, and also provides management recommendations and country alien-species lists.