MCP-ORTools

Created By
Jaccka year ago
Model Context Protocol (MCP) server implementation using Google OR-Tools for constraint solving
Overview

What is MCP-ORTools?

MCP-ORTools is a server implementation of the Model Context Protocol (MCP) using Google OR-Tools for constraint solving. It enables large language models to interact with constraint models for efficient problem-solving.

How to use MCP-ORTools?

To use MCP-ORTools, install the package via pip, configure your application with a setup file, and define models in JSON format specifying variables, constraints, and optional objectives.

Key features of MCP-ORTools?

  • Integration with Google OR-Tools for constraint programming
  • JSON-based model specification approach
  • Comprehensive support for various optimization problems
  • Compatibility with both integer and boolean variables
  • Extensive constraint relationship definitions

Use cases of MCP-ORTools?

  1. Optimizing supply chain logistics through integer programming.
  2. Solving scheduling problems within operations management.
  3. Assisting in combinatorial optimization tasks such as the knapsack problem.

FAQ from MCP-ORTools?

  • What types of problems can MCP-ORTools solve?

MCP-ORTools can address a wide range of optimization and constraint satisfaction problems using linear and binary constraints.

  • Is there support for different variable types?

Yes, the implementation supports both integer and boolean variables.

  • How can I define constraints in my models?

Constraints should be defined using OR-Tools method syntax, including relational operators and methods for equality, inequality, and linear combinations.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Jacck
Star
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Language
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License
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