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Image Gen MCP

Image Gen MCP

by s4shibam
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TypeScript

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    Related Servers

    • mcp-image

      ChristianKumar0483
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants in any MCP client to generate new images or edit existing ones by turning short requests into detailed prompts with configurable quality presets. Supports Gemini, OpenAI GPT Image, and BytePlus Seedream providers, saving results to disk and returning them as MCP resources.
      2,138 npm
      MIT

    • mcp-image

      uwevasiliou
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants in MCP clients to generate and edit images by automatically expanding short requests into detailed prompts with composition, lighting, and camera direction, then saving results to disk. Supports Gemini, OpenAI, and BytePlus Seedream providers with selectable quality presets, aspect ratios, and image sizes.
      2,138 npm
      MIT

    • mcp-image

      hoffmann7571
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables users to generate and edit images from MCP-compatible clients by automatically enhancing prompts with details like composition, lighting, and camera angle before sending them to Gemini, OpenAI, or BytePlus Seedream. Supports quality presets, multiple providers, and saving generated images to disk.
      2,138 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools are clearly distinct: one generates images via Gemini, the other via OpenAI. Each has unique parameters (model lists, size formats, settings) that make selection unambiguous based on which provider the agent needs.

    Naming Consistency5/5

    Both tools follow a consistent generate_image_{provider} pattern with snake_case naming. The verb 'generate' and noun 'image' are used uniformly, with the provider suffix distinguishing them clearly.

    Tool Count4/5

    Two tools is on the thin side for a server, but for a focused image generation purpose, two tools (one per provider) is a reasonable and intentional scope. The slight deduction is for the low count.

    Completeness3/5

    The server covers image generation for two major providers, which covers the core generation workflow. However, there are no complementary operations like listing generated images, deleting them, or fetching generation history—the surface is purely one-directional (generate and save).

    Resources