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Generating a series of images using MCP from a sample image

  • Why this server?

    Facilitates resource-based access to AI model inference, focusing on image generation through the Replicate API. It offers features like real-time updates and secure API key management, making it suitable for generating images.

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    A FastMCP server implementation that facilitates resource-based access to AI model inference, focusing on image generation through the Replicate API, with features like real-time updates, webhook integration, and secure API key management.
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    10
    Python
    • Apple
  • Why this server?

    Provides access to Amazon Bedrock's Nova Canvas model, which is specifically designed for AI image generation. This server would allow for generating images through MCP.

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    Provides access to Amazon Bedrock's Nova Canvas model for AI image generation.
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    1
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    20
    JavaScript
    MIT License
    • Apple
  • Why this server?

    Enables AI assistants to download images from URLs and perform basic image optimization tasks. While it doesn't directly generate images, it can prepare images for use in other generation processes or optimize generated images.

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    Enables AI assistants to download images from URLs and perform basic image optimization tasks.
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    2
    4
    JavaScript
    Apache 2.0
  • Why this server?

    Uses the FastMCP framework to generate images from prompts by interacting with a remote Comfy server, automating image creation based on workflow configurations.

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    The Comfy MCP Server uses the FastMCP framework to generate images from prompts by interacting with a remote Comfy server, allowing automated image creation based on workflow configurations.
    Last updated -
    7
    Python
    MIT License
  • Why this server?

    An MCP server for processing images using Florence-2, which could involve altering or enhancing a sample image to generate new ones.

  • Why this server?

    A TypeScript-based Model Context Protocol (MCP) server enabling integration with PiAPI for media content generation using platforms like Midjourney, Flux, and others through MCP-compatible applications. It can be used to generate images.

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    A TypeScript-based Model Context Protocol (MCP) server enabling integration with PiAPI for media content generation using platforms like Midjourney, Flux, and others through MCP-compatible applications.
    Last updated -
    1
    22
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Enables the generation of images using Together AI's models through an MCP server, supporting customizable parameters such as model selection, image dimensions, and output directory.

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    Enables the generation of images using Together AI's models through an MCP server, supporting customizable parameters such as model selection, image dimensions, and output directory.
    Last updated -
    1
    4
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    An advanced MCP server for Cline that leverages EverArt's AI models to generate vector and raster images, supporting flexible storage, multiple formats, and robust image generation capabilities.

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    An advanced MCP server for Cline that leverages EverArt's AI models to generate vector and raster images, supporting flexible storage, multiple formats, and robust image generation capabilities.
    Last updated -
    3
    1
    JavaScript
  • Why this server?

    A server that provides [Luma](https://lumalabs.ai/) AI's video generation API as the Model Context Protocol (MCP)

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    A server that provides Luma AI's video generation API as the Model Context Protocol (MCP)
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    2
    TypeScript
  • Why this server?

    A Model Context Protocol (MCP) server for AES encryption and decryption,supporting various modes, padding, and input/output formats for secure data handling.

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    A Model Context Protocol server for AES encryption and decryption, supporting various modes, padding, and input/output formats for secure data handling.
    Last updated -
    10
    266
    2
    TypeScript
    MIT License