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alexmartinsgomes

mcp-monte-carlo

by alexmartinsgomes
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Python
Remote

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    TDQS

    A4.7/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have fully distinct purposes: one generates forward Monte Carlo forecasts, while the other inspects model fit without simulating. Each description explicitly states when to use it and when not to, so there is no realistic ambiguity.

    Naming Consistency5/5

    Both tool names follow a consistent verb-first snake_case pattern: forecast_asset... and inspect_asset.... The shared '_asset_' segment reinforces that they operate on the same domain, and there is no mix of naming conventions.

    Tool Count3/5

    Two tools is on the low edge of what feels like a reasonable server surface. Each tool serves a necessary role in the workflow, but the server is minimal and could feel thin to agents expecting additional financial utilities.

    Completeness4/5

    For the stated purpose, the core workflow is covered: fit/inspect the model and run forecasts. There is no obvious dead end for the main Monte Carlo use cases, though a direct historical data or backtesting tool would make the surface more complete.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources