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openai-image-mcp

by DaniilPak
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TypeScript
Hybrid

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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

    A3.9/5.0

    Scored across 3 tools

    Disambiguation5/5

    The three tools each target a clearly distinct action: creating new images, editing existing ones, and reading model metadata. An agent can trivially choose between generate_image and edit_image based on whether it has source images, and list_models is purely informational.

    Naming Consistency5/5

    All names follow a consistent snake_case verb_noun pattern (generate_image, edit_image, list_models), with plain, predictable verbs and no style mixing.

    Tool Count4/5

    Three tools is on the lean side but covers the core generate/edit/metadata loop without redundancy. A slightly larger surface (e.g. mask creation, result retrieval) would not feel padded.

    Completeness4/5

    The generate/edit/list lifecycle is covered and the descriptions clarify how results land on disk, but there is no way to fetch or clean up generated files, no variation/upscale path, and no way to inspect saved outputs after the fact.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources