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743,120 tools. Updated 2026-11-04 19:04

"Tools or methods to generate images" matching MCP tools:

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  • A
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    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    35 PyPI
    MIT
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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0

Matching MCP Connectors

  • Research methods for AI assistants: study design guidance, R and Python code, and citations

  • Generate images with the catalogue's image model, returned inline; image price plus $0.01 a call.

  • Generate new images or edit existing images using natural language instructions, with support for multiple input images and local file editing.
    MIT
  • Generate images from text prompts or reference images using Google's Nano Banana AI. Supports up to 14 reference images for editing or combining, with adjustable resolution and aspect ratio.
    MIT
  • Apply AI-powered transformations to images using prompts and optional control methods. Accepts file paths, URLs, or base64, including masks for inpainting.
    MIT
  • Generate images from text prompts using OpenAI's Images API, save output locally, and switch to fallback models when an upstream request fails.
    MIT
  • Generate or edit images from text prompts and optional reference images, saving results to your project. Uses Gemini image models via chat completions.
    MIT
  • Generate images from text prompts using multiple AI providers. Images are saved to disk and file paths returned.
    MIT
  • Generate or edit multiple images in one call with concurrency control. Each task handles a prompt or reference images for efficient processing.
    MIT
  • Generate images by combining text prompts with existing images as inputs. This tool processes multi-modal content to create visual outputs.
    MIT
  • Generate or edit images by providing a prompt, image path, or mask with customizable parameters like aspect ratio and resolution.
    MIT