deterministic-logic
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- AlicenseNot gradedqualityAmaintenanceProvides deterministic decision and constraint evaluation for AI agents. Supports ruleset validation, fact evaluation, and constraint checking via MCP tools.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceProvides deterministic tools for symbolic math, equation solving, relation verification, reasoning structure audits, and validated CAD primitives, returning evidence artifacts for every result.MIT

aethis-mcpofficial
AlicenseAqualityAmaintenanceEnables clients to run deterministic eligibility and decision evaluations from compiled legislation, policy, contracts, and regulation, inspect schemas and traces, route next questions, and discover rulesets, with optional private-beta authoring tools for rule generation, testing, refining, and publishing.35632 npm1MIT- AlicenseNot gradedqualityBmaintenanceEnables MCP clients and AI agents to solve interdependent-variable domains deterministically by deriving implied values, catching contradictions, planning the smallest set of inputs to ask for, and explaining every result with provenance.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables formal logical reasoning, mathematical problem-solving, and proof construction across 11 logic systems including propositional, predicate, modal, fuzzy, and probabilistic logic. Integrates external solvers (Z3, ProbLog, Clingo) for advanced reasoning, with support for proof storage, argument scoring, and cross-system translation.1MIT
- FlicenseAqualityDmaintenanceEnables first-order logic reasoning including theorem proving, model finding, counterexample detection, and category theory diagram verification using pure TypeScript with no external dependencies.134-
TDQS
Scored across 8 tools
Each tool targets a distinct aspect of logic and state machine analysis: boolean logic evaluation, truth table generation, SAT solving, JSON logic evaluation, decision table analysis, FSM analysis, reachability, and simulation. No significant overlap.
All tools follow a consistent verb_noun pattern (evaluate_boolean, generate_truth_table, solve_sat, etc.), with clear verbs and specific nouns. The naming is predictable and easy to understand.
Eight tools is well-scoped for the domain, covering boolean logic, SAT, JSON logic, decision tables, and state machines without being too few or too many. Each tool serves a clear purpose.
The tool surface covers core operations for boolean logic (evaluate, truth table, SAT) and state machines (analysis, reachability, simulation). Minor gaps exist (e.g., no JSON logic validation, no state machine minimization) but do not hinder primary workflows.