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742,604 tools. Updated 2026-11-04 16:55

"An MCP for generating images" matching MCP tools:

  • Check authentication status, active model, and image output directory to verify your setup before generating images.
    MIT
  • Quote an official NovelAI image request without generating images. Returns free/paid/unknown status, Anlas amount and breakdown from live subscription pricing.
    AGPL 3.0
  • Check the generation status of a 3D model with a subscription key. Tracks job completion states: Done, Generating, or Waiting.
    MIT
  • Search for images across multiple engines by specifying your query and preferred source. Obtain structured JSON results, including rankings, image URLs, and source domain data.
    MIT
  • Search images across multiple engines and merge results into one deduplicated list preserving source engine and rank. Use when a single engine returns too few or too similar images.
    MIT

Matching MCP Servers

  • A
    license
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    quality
    A
    maintenance
    . A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{
    7,061 npm
    MIT
  • A
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    quality
    C
    maintenance
    Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.
    MIT

Matching MCP Connectors

  • Read a document and return its Markdown text, with support for PDFs (layout, tables, OCR), Word, PowerPoint, Excel, HTML, EPUB, email, images, and audio. Use when Markdown is all you need.
    MIT
  • Discovers what an application is made of by inspecting live Kubernetes namespaces, running images, and organization repositories, then returns a Saga descriptor as YAML.
    Apache 2.0
  • Build Docker Compose project images without starting containers. Specify services, disable cache, or force pull for updated base images.
    MIT
  • Pre-fetch container images for a compose project without starting services. Stage images before an outage window, refresh cached images before compose_up, or verify image accessibility while keeping containers stopped.
    MIT
  • Compute perceptual hashes (aHash, dHash, pHash, wHash) of an image. Optionally compare two images using Hamming distance to detect near-duplicates.
    MIT
  • Set a product's listing gallery by replacing images, reordering them, and choosing a cover. The list replaces all images; read before adding.
    MIT
  • Generate images from text prompts with options for model selection, aspect ratio, and reference images. Automates browser interaction to produce and download image files.
    MIT
  • Turn a text prompt into one or more new images. Saves generated images to disk and appends them to an HTML gallery, returning absolute paths for quick viewing.
    MIT
  • For a user's image request, load the `generating-images` skill BEFORE calling this — it picks the right model and builds the prompt (this tool does neither, and calling it raw gives weak, inconsistent results).
    Apache 2.0
  • List Docker images stored locally on the daemon, with optional filters for repository, intermediate layers, or attributes like dangling. Get a quick summary of each image's ID, tags, size, and labels.
    MIT
  • Sign up for a Maginary account using an email address. Get a one-time auto-generated password, verify your email, and then activate an API key to start generating images.
    MIT