mma-mcp
Related Servers
Alternatives to mma-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server for scientific computing with multiple backends (Mathematica, Octave, Python, R, SageMath, etc.) enabling mathematical computation and visualization through AI coding assistants.5-
- AlicenseCqualityDmaintenanceA comprehensive MCP server that turns any AI assistant into a powerful mathematical computation engine, providing 52 advanced functions, 158 unit conversions, financial calculations, and secure AST-based evaluation.1816MIT
- AlicenseAqualityBmaintenanceAn MCP server that integrates the MathJS library to provide AI models with advanced calculation capabilities, including support for complex numbers, matrices, and unit conversions. It supports both stdio and HTTP transports for seamless integration with clients like Claude Desktop and GitHub Copilot.139 npmMIT
- AlicenseAqualityDmaintenanceA symbolic mathematics MCP server supporting calculus, linear algebra, number theory, statistics, and unit conversion via natural language.8MIT
- AlicenseAqualityAmaintenanceAn MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.249232 PyPI3Apache 2.0
- FlicenseNot gradedqualityBmaintenanceAn MCP server that enables mathematical calculations and demonstrates extending AI capabilities through tool integration.-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: evaluate returns text output in various formats, while evaluate_image returns PNG images for visual output. There is no overlap or ambiguity between them, as each targets a different output type for Wolfram Language expressions.
Both tools follow a consistent verb_noun pattern with 'evaluate' as the verb and descriptive suffixes ('_image') to differentiate them. The naming is predictable and aligned, making it easy to understand their relationship and functionality.
With only two tools, this server feels too thin for its apparent scope of evaluating Wolfram Language expressions. It covers text and image output but lacks other essential operations like querying Wolfram Alpha, handling errors, or managing sessions, which limits its utility in broader workflows.
The tool surface is severely incomplete for a Wolfram Language server. It only provides evaluation with text or image output, missing critical functionality such as data import/export, symbolic computation queries, step-by-step solutions, or integration with Wolfram Cloud services, leading to significant gaps in agent capabilities.