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Bishwas-py

AI SEO Toolkit

by Bishwas-py
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    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

    A3.5/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool targets a distinct SEO task (GSC audit, traffic drop diagnosis, keyword clustering, AI citations, competitor gap, content refresh, schema, article draft). Minor overlap exists between gsc_audit and traffic_drop for diagnosing rankings, and between competitor_gap and content_refresh for content auditing, but descriptions clarify the intended use.

    Naming Consistency5/5

    All tools use consistent snake_case with noun_noun or acronym_noun patterns (e.g., traffic_drop, ai_citations). No mixing of conventions, and names are predictable and readable.

    Tool Count5/5

    8 tools is well within the ideal 3–15 range for a focused SEO toolkit. Each tool has a clear distinct workflow and earns its place.

    Completeness4/5

    Covers keyword research, content creation/refresh, competitor analysis, schema markup, AI citations, and diagnostic workflows from GSC/traffic data. Minor gaps like backlink analysis or technical site audits exist but are beyond the apparent AI-era content focus.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources