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VladimirBigunenko

Portfolio Data Analytics MCP Server

by VladimirBigunenko
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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

    B3.4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool targets a distinct data operation: loading, listing, summarizing, filtering, sorting, and correlation. There is a slight potential for overlap between summary and correlation, but they are clearly differentiated by scope (full dataset vs. pairwise columns).

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (load_csv, list_datasets, summary, filter_rows, top_rows, correlation). The naming is clear, predictable, and uses lowercase with underscores uniformly.

    Tool Count5/5

    With 6 tools, the server is well-scoped for a portfolio data analytics use case. Each tool serves a specific, essential analytic function without unnecessary bloat or redundancy.

    Completeness3/5

    The tool set covers basic data loading and exploration (summary, filtering, sorting, correlation) but lacks key operations such as grouping/aggregation, joining datasets, or data transformation (e.g., adding columns). This leaves notable gaps for a comprehensive analytics workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources