SymKit
Related Servers
Alternatives to SymKit
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceMCP server that gives small LLMs verified symbolic-math & logic tools.62Apache 2.0
- 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-
- AlicenseAqualityDmaintenanceA symbolic mathematics MCP server supporting calculus, linear algebra, number theory, statistics, and unit conversion via natural language.8MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.1Apache 2.0
- AlicenseBqualityAmaintenanceA universal mathematics MCP server that gives LLM clients full access to SageMath for symbolic calculus, number theory, linear algebra, and more, with persistent state across tool calls.40518 PyPI16MIT
- 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.818 npm1MIT
TDQS
Scored across 41 tools
Many tools within categories like session management (16 tools) and assumptions (6 tools) have similar purposes, such as `session_add_note` vs `session_record_step` or `session_show` vs `session_status`. While descriptions help, the high number of closely related tools could cause misselection.
All tools use snake_case consistently, but the verb-object order varies (e.g., `formula_add` vs `session_start`). Some tools are single words like `math` or `derive`. Overall, the pattern is mostly predictable with minor deviations.
41 tools is high for a single server. The large number of session (16) and assumption (6) tools suggests the scope could be trimmed. However, the domain of symbolic mathematics derivation is complex, so the count is borderline acceptable.
The tool set covers the full derivation lifecycle: setup, formula management, symbolic operations, assumptions, verification, reporting, and code generation. Minor gaps exist (e.g., no explicit session import/export), but overall it is well-rounded for the domain.