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math-mcp-learning-server

by clouatre-labs
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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

    A4.1/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool targets a distinct operation: expression evaluation, interest calculation, statistics, unit conversion, matrix operations (5 separate), plot types (6 separate), and workspace management. No two tools have overlapping purposes, and cross-references in descriptions clarify boundaries (e.g., calc_statistics vs calc_expression).

    Naming Consistency5/5

    All tool names follow a consistent pattern: a domain prefix (calc_, matrix_, plot_, workspace_) followed by a descriptive noun (e.g., expression, interest, determinant, histogram, save). Snake_case is used uniformly, with no mixing of styles.

    Tool Count5/5

    17 tools is well-scoped for a math learning server, covering arithmetic, statistics, linear algebra, unit conversion, plotting, and data persistence. Each tool has a clear role, neither too few nor too many for the domain's breadth.

    Completeness4/5

    The tool set covers core mathematical areas (expressions, statistics, matrices, unit conversion, plotting) and workspace persistence, but lacks dedicated tools for algebra, calculus, or probability distributions. Minor gaps exist, but the core learning workflows are supported.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

    Resources