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gateonai-mcp-server

by giorgio44
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Python
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

    A3.7/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have distinct purposes, and descriptions explicitly contrast the tricky pairs (get_compatible_tools vs find_similar_by_philosophy, and the four workflow-family tools). However, find_ai_pipeline, get_ai_workflow, get_workflow_template, and build_workflow_board all occupy the 'workflow generation' space, which could still cause misselection despite the effort to differentiate.

    Naming Consistency4/5

    Nearly all tools use snake_case verb_noun patterns (get_*, find_*, search_*, build_*, compare_*, match_*, analyze_*). Minor deviation with whats_new, which uses a non-verb-phrase style, but overall the convention is readable and consistent.

    Tool Count4/5

    17 tools is slightly heavy for the platform scope but each tool maps to a plausible distinct capability (search, detail, compare, workflows, prompts, stats). It sits just above the ideal 3-15 range without feeling bloated.

    Completeness4/5

    The surface covers discovery (search, trending, whats_new, market landscape), evaluation (details, compare, GDPR), and generative workflow/prompt features (pipelines, workflows, templates, boards, prompt matching, stack analysis). Coverage is broad with only minor gaps like category enumeration or saved-collection management.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources