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by ariunbolor • Automation & Orchestration
An MCP server that exposes the Neuro-Symbolic Autonomy Framework (NSAF) to AI assistants so they can run evolution experiments and compare agent architectures.
Run NSAF evolutionary experiments with configurable population size, generations, mutation rate, crossover rate, and architecture complexity.
Compare and benchmark different NSAF agent architectures (simple, medium, complex) to choose the best-performing design.
A local MCP-compatible server to expose NSAF capabilities to assistants like Claude and Cline for interactive orchestration and automation.
This repository provides a simplified Model Context Protocol (MCP) server that lets AI assistants interact with the NSAF framework without the official MCP SDK. It includes tooling to run NSAF evolutionary simulations with configurable parameters and to compare different agent architectures. The package bundles NSAF framework code and provides scripts for installation, building, and optional GitHub deployment. It is intended to make NSAF capabilities easily accessible to assistants like Claude and Cline.
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