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stefanskiasan

Together AI Image MCP Server

by stefanskiasan
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    • MCP Image Generator

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      quality
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      Enables generating and editing images from any MCP client by expanding short requests into detailed visual prompts, then saving the results to disk and returning them as resources. Supports Gemini, OpenAI GPT Image, and BytePlus Seedream with quality presets, aspect ratios, up to 4K output, and options for character consistency and Google Search grounding.
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    • mcp-image

      uwevasiliou
      A
      license
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      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.
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    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

    B3.1/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generate_image' has a clear and distinct purpose, making it impossible for an agent to misselect between non-existent alternatives.

    Naming Consistency5/5

    The naming pattern cannot be inconsistent with only one tool. The tool name 'generate_image' follows a verb_noun convention, which is straightforward and predictable, though there are no other tools to compare it against for consistency.

    Tool Count2/5

    A single tool for an image generation server feels thin and under-scoped. While it covers the core functionality, typical image generation APIs offer more operations (e.g., variations, edits, or style transfers), making this count borderline too few for the apparent domain.

    Completeness2/5

    The tool set is severely incomplete for an image generation domain. It only provides generation, with no obvious gaps to assess since there are no other tools, but the lack of common operations like editing, upscaling, or batch processing suggests significant coverage issues for agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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