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krisdiallo

aivis-mcp

by krisdiallo
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Python
Remote

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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

    A4.3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools target completely different activities: one performs a technical visibility audit (robots.txt, raw HTML, agent-commerce layer), while the other generates prompts and a rubric for recommendation testing. Their descriptions make the distinction unambiguous, so an agent can easily pick the right tool.

    Naming Consistency5/5

    Both tool names follow a clear verb_noun pattern in snake_case (check_ai_visibility, build_recommendation_test). The naming is consistent and predictable, with no deviations in style or convention.

    Tool Count3/5

    The server has only 2 tools, which feels thin even for a focused audit service. While each tool is substantive, the surface lacks depth—for example, no tool to run or score the recommendation test, or to track changes over time—making the set borderline.

    Completeness4/5

    The tools cover the core diagnostic tasks: technical AI visibility checks and prompt generation for recommendation testing. There are minor gaps, such as no tool to apply the generated rubric or to store historical results, but these can be worked around by the calling assistant or user.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources