MCP ServersGurddy
Created at 2 months ago
by novvoo
A Model Context Protocol (MCP) server providing solutions for Constraint Satisfaction Problems (CSP) and Linear Programming (LP). Built on the gurddy optimization library, it supports solving a variety of classic problems through two MCP transports: stdio (for IDE integration) and HTTP/SSE (for web clients). 🚀 Quick Start (Stdio): pip install gurddy_mcp then configure in your IDE 🌐 Quick Start (HTTP): docker run -p 8080:8080 gurddy-mcp or see deployment guide 📦 PyPI Package: https://pypi.org/project/gurddy_mcp
Categories
Tags
csp
lp
optimization
What is Gurddy?
Gurddy is a Model Context Protocol (MCP) server designed to provide solutions for Constraint Satisfaction Problems (CSP) and Linear Programming (LP). It utilizes the gurddy optimization library to solve a variety of classic problems through two MCP transports: stdio for IDE integration and HTTP/SSE for web clients.
How to use Gurddy?
To use Gurddy, you can either install it via pip for IDE integration or run it using Docker for web access. For IDE integration, use pip install gurddy_mcp and configure it in your IDE. For HTTP access, run docker run -p 8080:8080 gurddy-mcp.
Key features of Gurddy?
- CSP Problem Solving: Includes solutions for N-Queens, Graph Coloring, Sudoku, and more.
- LP/Optimization Problems: Supports Linear Programming and Mixed Integer Programming.
- Minimax/Game Theory: Solves two-player games and finds optimal strategies.
- MCP Protocol Support: Offers both stdio and HTTP/SSE transports for flexibility.
Use cases of Gurddy?
- Solving complex scheduling problems.
- Optimizing resource allocation in production planning.
- Analyzing game strategies in competitive scenarios.
FAQ from Gurddy?
- Can Gurddy solve all types of CSP and LP problems?
Yes, Gurddy is designed to handle a wide range of CSP and LP problems.
- Is Gurddy free to use?
Yes, Gurddy is open-source and free to use.
- How can I deploy Gurddy?
You can deploy Gurddy using Docker or install it locally via pip.
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