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vlsky2603

thedailyworkflow-mcp

by vlsky2603
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Python
Remote

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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

    A4.4/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool targets a distinct domain: search vs get details vs stats vs categories. Even similar search tools are clearly separated by resource (AI tools, MCP servers, pipelines, prompts, tutorials, Q&A cases). No ambiguity between tools.

    Naming Consistency4/5

    Most tools follow the verb_noun pattern (e.g., search_ai_tools, get_mcp_details). One minor outlier is catalog_stats (noun_noun), but overall naming is predictable and clear.

    Tool Count4/5

    16 tools is slightly above the typical well-scoped range (3-15), but each tool addresses a distinct need within the catalog's domain. The count feels reasonable given the breadth of resources (AI tools, MCP servers, pipelines, prompts, tutorials, Q&A).

    Completeness5/5

    The tool surface covers the full workflow: discovery (search, list categories, popular pipelines), detailed information (get details for each resource type), actionable next steps (get install config, build custom pipeline URL), and troubleshooting (search Q&A cases). No obvious gaps for a read-oriented catalog.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources