Genetic Algorithm MCP

A server that uses a Genetic Algorithm to solve maximization problems.

An MCP server to solve maximization problems using Genetic Algorithm.
- How it works
- How to run

- 2.1Genetic Algorithm
- 2.2MCP Server

cd genetic-mcp-server/genetic_algorithm python3 main.py

cd genetic-mcp-server/genetic_algorithm python3 main.py samples/<problem>.json

tsp_data = { "options": { "population_size": 100, "chromosome_size": 4, "fitness_function": { "cities": ["A", "B", "C", "D"], "distance_matrix": [ [0, 10, 15, 20], [10, 0, 35, 25], [15, 35, 0, 30], [20, 25, 30, 0] ] } }, "problem": "traveling_salesman", "generations": 50 }

- Create a .json file in the same style of the ones ingenetic-mcp-server/genetic_algorithm/samplesand replace<path_to_your_file>with the path to your file:

cd genetic-mcp-server/genetic_algorithm python3 <path_to_your_file>

Replace<full-path-to-genetic-mcp-server>in the following JSON with your actual path:

{ "mcpServers": { "genetic_algorithm_mcp_server": { "command": "uv", "args": [ "--directory", <full-path-to-genetic-mcp-server>, "run", "main.py" ] } } }

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