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RCA-MCP Connector

by dave1362
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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

    A4.1/5.0

    Scored across 56 tools

    Disambiguation4/5

    Tools are organized into clear domains (graph, model, analysis, guide, dtree, auth, admin) and near-neighbors explicitly cross-reference each other to avoid misselection (e.g., rca_analysis_query_results vs rca_analysis_list_results, rca_analysis_compare vs rca_report_compare). A few pairs could still be confused, notably rca_report_generate vs rca_guide_generate_report and rca_graph_score vs rca_graph_score_paths, but the descriptions do enough work to keep boundaries clear.

    Naming Consistency4/5

    All tools follow a consistent rca_<domain>_<action> snake_case pattern, which is a strong, predictable skeleton even across 56 tools. Minor deviations exist: rca_admin_show_plan_info uses 'show' where other tools use 'get' or 'list', rca_graph_markov_blanket is a noun rather than a verb, and rca_guide_generate_report inverts the domain/action ordering seen in rca_report_generate.

    Tool Count2/5

    56 tools is far beyond the typical well-scoped MCP surface and creates a heavy action space for agents to navigate. The tools are grouped into sensible subdomains, so the count isn't chaotic, but it is still too many for a connector-style server and would benefit from consolidation.

    Completeness4/5

    The surface covers full lifecycles for auth, models, graphs, guides, and decision trees, plus run/retrieve/query/compare/explain for analyses and report generation. Notable gaps: no per-item delete for analysis results (only Enterprise-level namespace purge), no graph metadata update, and no way to cancel an async task.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources