Skip to main content
Glama
TeleEng

math-reasoning-mcp

by TeleEng

Related Servers

Alternatives to math-reasoning-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides a suite of deterministic math tools powered by SymPy to handle algebra, calculus, linear algebra, and statistics via the Model Context Protocol. It enables smaller language models to delegate complex computations to a verified symbolic backend for accurate and reliable results.
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides a token-efficient exact math engine for AI agents, enabling computation of derivatives, integrals, equations, and optimized Python/NumPy code via a single MCP tool.
      4
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      A secure mathematical computation sandbox that enables LLMs to perform symbolic math operations like algebra, calculus, and equation solving via SymPy. It features low-latency execution through pre-warmed process pools and provides standardized JSON outputs for reliable agent integration.
      1
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides exact, deterministic tools for math, dates, units, validation, and more to AI agents, returning precise answers with explicit assumptions and warnings instead of model guesses.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides over 500 deterministic tools for math, conversions, validation, hashing, and more, enabling AI agents to perform accurate calculations and data transformations without hallucination.
      1
      MIT

    TDQS

    B3.2/5.0

    Scored across 21 tools

    Disambiguation4/5

    Each tool targets a distinct operation or transform family, and the descriptions clearly separate direct computation from step-by-step variants. The main ambiguity is between solve_equation/step_by_step_algebra and laplace_transform_signal/step_by_step_laplace, but the stated outputs make the distinction usable.

    Naming Consistency3/5

    Transform and check tool families are consistent (laplace_transform_signal, inverse_laplace_transform_signal, check_linearity, check_time_invariance), but the overall set mixes verb_noun names, bare verbs like differentiate, and noun-phrase names like poles_and_zeros and uniform_quantization. The naming is readable and snake_case throughout, but not a uniform verb_noun pattern.

    Tool Count3/5

    With 21 tools, the server is on the heavy side and overlaps somewhat with redundant step-by-step variants. Most tools do serve distinct math or signals purposes, but the count sits in the borderline 16-25 range rather than being tightly scoped.

    Completeness3/5

    Core algebra, calculus, convolution, and major transforms are covered, including inverse Laplace and Fourier transforms. However, there are notable gaps such as inverse Z-transform, inverse DTFT, definite integration, limits, and series support, which leave dead ends for some signal workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues