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scicalc-mcp

by k-ming
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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 19 tools

    Disambiguation5/5

    Each tool targets a distinct operation in its domain (e.g., determinant vs. matrix multiply, t_test vs. linear_regression, integrate_function vs. find_root). Even similar-sounding tools like describe and dataframe_describe have clearly different inputs and purposes.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern (e.g., matrix_multiply, solve_linear_system, dataframe_groupby_aggregate). The naming is descriptive and predictable, with no mixing of conventions.

    Tool Count5/5

    With 19 tools, the server covers linear algebra, statistics, calculus, data frame operations, and plotting—an appropriate breadth for a scientific calculator. The count is well-scoped without being overwhelming.

    Completeness4/5

    The tool set covers core linear algebra, basic statistics, calculus, data frame summarization, and plotting. However, it lacks matrix operations like transpose or decomposition, and statistical tests like ANOVA, leaving minor gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources