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LouisChanCLY

napkin-ai-mcp

by LouisChanCLY
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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 7 tools

    Disambiguation4/5

    Most tools have distinct purposes, but generate_visual, generate_and_wait, and generate_and_save all trigger visual generation with different behaviors, which could cause confusion. Description clarifies the differences though, and the other tools (check_status, download_visual, list_styles, verify_api_key) are clearly separate.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (generate_visual, check_status, download_visual, list_styles, verify_api_key). The compound names generate_and_wait and generate_and_save are also consistent with this style, making the set predictable.

    Tool Count5/5

    Seven tools is well-scoped for a visual generation service, covering submission, status polling, download, convenience wrappers, style listing, and API key verification. Each tool serves a clear function without unnecessary redundancy.

    Completeness4/5

    The core lifecycle of generating, checking, and downloading visuals is fully covered, plus useful extras like styles and API key verification. Minor gaps exist (e.g., no cancel request or delete operation), but these are not essential for the primary use case.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources