Skip to main content
Glama
Eis4TY

SymPy Sandbox MCP

by Eis4TY

Related Servers

Alternatives to SymPy Sandbox MCP

No user-submitted related servers found.

    Related Servers

    • F
      license
      B
      quality
      B
      maintenance
      Provides AI agents with deterministic symbolic math capabilities through 21 tools for algebra, calculus, transforms, and DSP, preventing hallucinations by delegating computations to a SymPy engine.
      21
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to perform safe sandboxed expression evaluation, symbolic calculus such as derivatives, simplification, equation solving and integration, statistical analysis, and JSON-native matrix operations. Everything is computed statelessly through the Model Context Protocol over stdio, HTTP, or SSE.
      155 npm
      MIT
    • 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
      A
      quality
      B
      maintenance
      Provides LLMs with deterministic math tools for sandboxed expression evaluation, descriptive statistics, primality testing, prime factorization, GCD/LCM, quadratic solving, and base conversion. Every operation runs real code rather than relying on the model's arithmetic, with expression parsing restricted to a whitelist of operators, constants, and functions.
      21
      18 PyPI
      MIT
    • 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

    TDQS

    A4.5/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'sympy' has a clear and distinct purpose: executing Python/SymPy math code within a sandboxed environment.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'sympy' is straightforward and matches the server's purpose, with no other tools to compare against for patterns.

    Tool Count2/5

    A single tool is too few for the apparent scope of a SymPy sandbox, which could benefit from more granular operations like simplify, solve, or differentiate. This minimal set may force agents to bundle multiple steps into one call, reducing flexibility and increasing error risk.

    Completeness2/5

    The tool surface is severely incomplete for mathematical computation. While the single tool can execute arbitrary SymPy code, it lacks dedicated tools for common operations (e.g., simplification, solving equations, calculus), making it harder for agents to reliably perform structured tasks without manual coding in each call.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues