MiniZinc MCP Server
Related Servers
Alternatives to MiniZinc MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables solving constraint satisfaction and optimization problems using MiniZinc models via a single tool.4MIT
- AlicenseNot gradedqualityAmaintenanceA Model Context Protocol (MCP) server that exposes MiniZinc constraint solving capabilities to Large Language Models.184MIT
- AlicenseCqualityDmaintenanceEnables Large Language Models to submit and solve constraint satisfaction and optimization problems using Google OR-Tools through JSON model specification.11MIT
- AlicenseNot gradedqualityNot gradedmaintenanceAn MCP server that enables Large Language Models to interactively create, edit, and solve constraint models using backends like MiniZinc, Z3, PySAT, and Clingo. It bridges natural language with symbolic reasoning for solving complex logical, SAT, SMT, and optimization problems.MIT
- AlicenseAqualityDmaintenanceProvides constraint satisfaction and optimization capabilities to LLMs and AI agents for scheduling, resource allocation, routing, budget optimization, and configuration problems using Google OR-Tools CP-SAT solver.55Apache 2.0
- AlicenseNot gradedqualityDmaintenanceMCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution21MIT
TDQS
Scored across 4 tools
list_solvers and validate_model are clearly distinct, but solve_model and solve_model_by_path overlap heavily in purpose. The descriptions distinguish file-based solving from a generic solve action, but an agent may be uncertain which to use for an inline model versus a file path.
All tools follow a consistent verb_noun pattern: list_solvers, validate_model, solve_model, solve_model_by_path. The by_path suffix is a clear modifier rather than a convention break.
Four tools is a reasonable scope for a specialized MiniZinc server. Each tool addresses a core workflow need, though the set is slightly minimal.
The server covers the main MiniZinc operations: enumerate solvers, validate a model, and solve a model. Minor gaps exist such as solver-specific configuration or more granular result controls, but the core workflow is not blocked.