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Mcp Solver

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Integrates MiniZinc constraint programming with Large Language Models via the Model Context Protocol for constraint optimization and solving.

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About

The MCP Solver bridges the gap between Large Language Models (LLMs) and constraint programming by providing a Model Context Protocol (MCP) server that exposes MiniZinc constraint solving capabilities. It enables AI models to create, edit, and validate constraint models, execute solving operations, access and update solution knowledge, and manage solver insights. This integration facilitates the development of AI systems capable of reasoning and problem-solving in structured domains.

Key Features

  • Finite domain and global constraint support
  • Asynchronous solving with configurable timeouts
  • Item-based model editing for robustness
  • Solution state management
  • Knowledge base maintenance

Use Cases

  • Modeling and solving constraint-based problems with LLMs
  • Integrating constraint programming capabilities into AI-powered applications
  • Optimizing solutions in scenarios with complex constraints, such as scheduling, resource allocation, and planning