mcp-sympy
Related Servers
Alternatives to mcp-sympy
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceA symbolic mathematics MCP server supporting calculus, linear algebra, number theory, statistics, and unit conversion via natural language.8MIT
- AlicenseBqualityDmaintenanceA Python-based MCP server providing mathematical computation tools and plotting utilities for a wide range of math topics including calculus, matrix operations, statistics, and more.2213 PyPI5MIT
- -licenseNot gradedqualityNot gradedmaintenanceMCP server providing Claude with advanced mathematical capabilities including symbolic math, statistics, and matrix operations.-
- AlicenseBqualityDmaintenanceHigh-precision mathematics server for MCP clients, providing exact integer arithmetic, symbolic derivatives, and numerical calculus via LaTeX-style input.65 npm2MIT
- AlicenseBqualityCmaintenanceA Model Context Protocol server that enables LLMs to autonomously perform symbolic mathematics and computer algebra through SymPy's functionality for manipulating mathematical expressions and equations.3285Apache 2.0
- AlicenseBqualityCmaintenanceEnables MCP clients to autonomously perform symbolic mathematics and computer algebra, including solving equations, integration, differentiation, limits, series, inequalities, vector and tensor calculus, differential equations, matrices, units, and general relativity calculations.39Apache 2.0
TDQS
Scored across 171 tools
Each tool targets a distinct SymPy operation, with clear distinctions between similar ones (e.g., solve vs solveset vs nsolve, integrate vs integral, expand vs expand_trig). No two tools appear to do the same thing.
All tools follow the 'sympy_' prefix with lowercase and underscores. Verb-first names are common (factor, solve, integrate, simplify), and a few noun-only names (e.g., sympy_sin, sympy_matrix) are consistent in style. No mixed conventions like camelCase.
With 171 tools, this significantly exceeds the practical scale for an MCP server. The massive surface area makes it unwieldy and hard to navigate, even if each tool is individually well-defined.
The tool surface is extremely comprehensive, covering calculus, algebra, linear algebra, number theory, sets, geometry, logic, and more. It includes both evaluated and unevaluated operations, plus supporting utilities like substitution and simplification.