Enables deploying the MCP server code to GitHub repositories with setup scripts for initialization, remote configuration, and code pushing
Optional integration for setting up CI/CD workflows to test and build the server
Provides configuration instructions for integrating with Claude Desktop app on macOS systems
Supports running the MCP server using Node.js runtime environment
Integrates with Python to access the NSAF framework capabilities
NSAF MCP Server
This is a Model Context Protocol (MCP) server for the Neuro-Symbolic Autonomy Framework (NSAF). It allows AI assistants to interact with the NSAF framework through the MCP protocol.
Note: This repository includes both the NSAF framework code and the MCP server implementation, making it a complete package that can be deployed and used anywhere.
Note: This implementation uses a simplified version of the MCP protocol that doesn't require the official MCP SDK. It implements the core functionality needed to expose NSAF capabilities to AI assistants.
Features
- Run NSAF evolution with customizable parameters
- Compare different NSAF agent architectures
- Integrate NSAF capabilities into AI assistants
Prerequisites
- Node.js 18+ and npm
- Python 3.8+ with the NSAF framework installed
Installation
- Clone this repository:
- Install dependencies:
- Build the server:
Configuration
The server includes the NSAF framework code, so no additional configuration is required for basic usage. The MCP server is designed to work out-of-the-box when installed globally.
Usage
Running the server locally
Deploying to GitHub
- Create a new GitHub repository for your MCP server:
- Go to GitHub and create a new repository named
nsaf-mcp-server
- Initialize it with a README file
- Go to GitHub and create a new repository named
- Use the provided setup script to push your code to GitHub:
The script will:
- Initialize git if needed
- Set up the remote repository
- Commit your changes
- Try to push to GitHub (with options to handle existing repositories)
- Configure GitHub Actions for CI/CD (optional):
- Create a
.github/workflows
directory - Add a workflow file for testing and building the server
- Create a
Using with AI Assistants
To use this MCP server with AI assistants like Claude, you need to:
- Install the server:Option 1: Install from GitHub (after pushing your code):Option 2: Install from your local directory:
- Add the server to your MCP settings configuration:
For Claude Desktop app, edit ~/Library/Application Support/Claude/claude_desktop_config.json
(on macOS):
For Cline, edit /Users/onthego/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
:
Available Tools
run_nsaf_evolution
Run NSAF evolution with specified parameters.
Parameters:
population_size
: Size of the agent population (default: 20)generations
: Number of generations to evolve (default: 10)mutation_rate
: Mutation rate (0.0-1.0) (default: 0.2)crossover_rate
: Crossover rate (0.0-1.0) (default: 0.7)architecture_complexity
: Complexity of the agent architecture ('simple', 'medium', 'complex') (default: 'medium')
compare_nsaf_agents
Compare different NSAF agent architectures.
Parameters:
architectures
: List of architectures to compare (default: ['simple', 'medium', 'complex'])
License
MIT
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server that allows AI assistants to interact with the Neuro-Symbolic Autonomy Framework, enabling capabilities like running NSAF evolution with customizable parameters and comparing different agent architectures.
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