SageMath MCP Server
Related Servers
Alternatives to SageMath MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceExposes the full SageMath computer algebra system to LLM clients through MCP tools for symbolic mathematics, solving, calculus, plotting, and number theory.45 npm1Creative Commons Zero v1.0 Universal
- AlicenseAqualityCmaintenanceA Model Context Protocol server that exposes 8 mathematical tools (arithmetic, algebra, calculus, matrix operations, statistics, probability, unit conversions) to any MCP-compatible AI agent, enabling mathematical computations without code.89 npm1MIT
- AlicenseAqualityBmaintenanceProvides an MCP server exposing compute, verify, and plot tools backed by Giac/Xcas for exact symbolic and numerical mathematics, enabling LLMs to solve calculus, algebra, geometry, and more with verified results.341 npm2GPL 3.0
- AlicenseAqualityDmaintenanceMCP server that gives small LLMs verified symbolic-math & logic tools.61Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA tool server that processes mathematical expressions via Multi-Chain Protocol (MCP), allowing LLMs to solve math problems through tool integration.MIT
- 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
TDQS
Scored across 40 tools
The server provides unusually explicit guidance ('Prefer this over evaluate_sage') for nearly every dedicated tool, so an agent can usually select correctly. Residual ambiguity remains among session-control tools (reset vs cancel vs stop) and between calculate_expression and evaluate_sage for simple evaluations, but these are minor.
All names are snake_case with logical patterns: verb_noun for actions (differentiate_expression, solve_equation) and noun_operation for domain tools (matrix_operation, graph_operation). The mix is systematic, though a few outliers like matrix_multiply and statistics_summary slightly break the otherwise predictable convention.
At 40 tools, this is well beyond the 3-15 sweet spot and into 'too many' territory per the rubric. While each tool targets a distinct mathematical operation and a general evaluator exists, many are convenience wrappers around evaluate_sage, creating a heavy selection burden.
The surface spans calculus, algebra, linear algebra, number theory, combinatorics, graph/group theory, elliptic curves, coding theory, geometry, plots, statistics, and session management, with evaluate_sage as a general fallback for anything else. No significant dead ends exist for typical mathematical work.