ai-ml

4o-image

by antipas

Generate and edit high-quality images in real time with our AI image generator. Bridge AI systems to 4o-image API for st

Provides a bridge between AI systems and the 4o-image API for generating and editing high-quality images through text prompts with real-time progress updates.

github stars

4

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  • / General purpose MCP workflows

capabilities

    what it does

    Provides a bridge between AI systems and the 4o-image API for generating and editing high-quality images through text prompts with real-time progress updates.

    about

    4o-image is a community-built MCP server published by antipas that provides AI assistants with tools and capabilities via the Model Context Protocol. Generate and edit high-quality images in real time with our AI image generator. Bridge AI systems to 4o-image API for st It is categorized under ai ml.

    how to install

    You can install 4o-image in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

    license

    MIT

    4o-image is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

    readme

    4o-image MCP Server

    An MCP server implementation that integrates with 4o-image API, enabling LLMs and other AI systems to generate and edit images through a standardized protocol. Create high-quality art, 3D characters, and custom images using simple text prompts.

    <a href="https://glama.ai/mcp/servers/@Antipas/4oimage-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@Antipas/4oimage-mcp/badge" alt="mcp-4o-Image-Generator MCP server" /> </a>

    npm version Node.js Version License: MIT

    Features

    • Text-to-Image Generation: Create images from text descriptions with AI
    • Image Editing: Transform existing images using text prompts
    • Real-time Progress Updates: Get feedback on generation status
    • Browser Integration: Automatically open generated images in your default browser

    Tools

    • generateImage
      • Generate images based on text prompts with optional image editing
      • Inputs:
        • prompt (string, required): Text description of the desired image
        • imageBase64 (string, optional): Base64-encoded image for editing or style transfer

    Configuration

    Getting an API Key

    1. Register for an account at 4o-image.app
    2. Obtain your API key from the user dashboard
    3. Set the API key as an environment variable when running the server

    Usage with Claude Desktop

    Add this to your claude_desktop_config.json:

    {
      "mcpServers": {
        "4o-image": {
          "command": "npx",
          "args": [
            "-y",
            "4oimage-mcp"
          ],
          "env": {
            "API_KEY": "YOUR_API_KEY_HERE"
          }
        }
      }
    }
    

    Example Usage

    Here's an example of using this MCP server with Claude:

    Generate an image of a dog running on the beach at sunset
    

    Claude will use the MCP server to generate the image, which will automatically open in your default browser. You'll also get a direct link to the image in Claude's response.

    For image editing, you can include a base image and prompt Claude to modify it:

    Edit this image to make the sky more dramatic with storm clouds
    

    License

    This MCP server is licensed under the MIT License. You are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License.

    FAQ

    What is the 4o-image MCP server?
    4o-image is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
    How do MCP servers relate to agent skills?
    Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
    How are reviews shown for 4o-image?
    This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
    MCP server reviews

    Ratings

    4.510 reviews
    • Shikha Mishra· Oct 10, 2024

      4o-image is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

    • Piyush G· Sep 9, 2024

      We evaluated 4o-image against two servers with overlapping tools; this profile had the clearer scope statement.

    • Chaitanya Patil· Aug 8, 2024

      Useful MCP listing: 4o-image is the kind of server we cite when onboarding engineers to host + tool permissions.

    • Sakshi Patil· Jul 7, 2024

      4o-image reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

    • Ganesh Mohane· Jun 6, 2024

      I recommend 4o-image for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

    • Oshnikdeep· May 5, 2024

      Strong directory entry: 4o-image surfaces stars and publisher context so we could sanity-check maintenance before adopting.

    • Dhruvi Jain· Apr 4, 2024

      4o-image has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

    • Rahul Santra· Mar 3, 2024

      According to our notes, 4o-image benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

    • Pratham Ware· Feb 2, 2024

      We wired 4o-image into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

    • Yash Thakker· Jan 1, 2024

      4o-image is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.