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gpt-image-mcp

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    Related Servers

    TDQS

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: check_endpoint validates API connectivity, generate_image creates new images, and edit_image modifies existing images. There is no meaningful overlap between these operations, so an agent can confidently select the right tool.

    Naming Consistency5/5

    All tool names follow the same verb_noun snake_case pattern: check_endpoint, generate_image, edit_image. This makes the tool set highly predictable and easy to reason about.

    Tool Count5/5

    Three tools is well-scoped for a focused GPT Image MCP server: endpoint validation, generation, and editing cover the core functionality without unnecessary bloat. Each tool earns its place.

    Completeness4/5

    The set covers the primary image lifecycle: checking endpoint availability, generating images, and editing existing images. Minor gaps exist, such as no explicit model listing or image variation/upscale capabilities, but the core workflows are complete enough for most use cases.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues