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MCP Solver

MCP Solver is a server that exposes SAT, SMT, and constraint - solving capabilities to large language models through the Model Context Protocol (MCP).
2.5 points
67

What is MCP Solver?

MCP Solver is a tool that integrates large language models and constraint solvers through the Model Context Protocol (MCP). It allows users to create, edit, and solve constraint models based on MiniZinc, PySAT, and Z3.

How to use MCP Solver?

Users can interact with MCP Solver through the command line or graphical interface. First, install the required dependencies, then select the appropriate mode (MiniZinc, PySAT, or Z3), and finally input the model and run the solver.

Applicable Scenarios

MCP Solver is suitable for application scenarios that require solving combinatorial optimization, logical reasoning, and complex constraint problems, such as scheduling, resource allocation, and path planning.

Main Features

MiniZinc ModeSupports rich constraint expressions and global constraints, suitable for complex combinatorial optimization problems.
PySAT ModeUsed for solving Boolean logic and propositional logic, supporting multiple SAT solvers.
Z3 ModeA powerful SMT solver that supports quantification and complex theoretical constraints.
Interactive Model BuildingAllows users to gradually build and debug models and view the solving status in real - time.

Advantages and Limitations

Advantages
Supports multiple solving modes to adapt to different problem types.
Integrates LLM capabilities to improve problem - modeling efficiency.
Open - source and easy to extend, suitable for research and development.
Limitations
Requires a certain programming foundation to define models.
Large - scale problems may require high - performance computing resources.
The current version is still in the prototype stage, and its stability needs to be verified.

How to Use

Install Dependencies
Ensure that Python 3.11 or a higher version is installed, and use the uv tool to manage the project.
Start the Server
Select the mode (MiniZinc, PySAT, or Z3) according to your needs. For example, use the command'mcp - solver - mzn' for MiniZinc mode.
Add a Model
Gradually build the model through the command line, supporting adding, deleting, and replacing constraints.
Run the Solver
Execute the solving operation and view the results.

Usage Examples

Actor Allocation ProblemSolve a difficult problem for a theater director in actor allocation.
N - Queens ProblemVerify whether N queens can be placed on a chessboard of different sizes.

Frequently Asked Questions

Which solving modes does MCP Solver support?
How to install the dependencies required by MCP Solver?
In which scenarios is MCP Solver applicable?

Related Resources

GitHub Repository
The official GitHub repository of MCP Solver.
MCP Official Website
Learn more about the Model Context Protocol.
User Feedback Form
Provide your usage feedback.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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