Core-mcp-server

AiGOVERNOR/Core-mcp-server

3.2

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The Core MCP Server is a dynamic proxy server that facilitates the use of AWS MCP servers through role-based environment variables, enabling tailored server configurations for specific use cases.

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🧬 Core-MCP

Modular Concurrent Processing Framework

Distributed intelligence for autonomous agents — built and tested by AiGOVERNOR


Python Build License Version


🏷️ Version

Stable Release: v1.1.0
Tested Environment: Termux (ARM64), Python 3.12.12
Status: ✅ All 269 tests passed


🚀 Overview

Core-MCP is a modular concurrent-processing framework for autonomous agent orchestration, nanotech simulation, and AI-driven task automation.
It enables multi-agent systems to coordinate asynchronously, share memory, and communicate through an event-based architecture.

This release includes the FastMCP engine — a lightweight core server that powers event-driven computation, compatible with Termux and Linux.


🧩 Architecture


⚙️ Key Components

ComponentDescription
FastMCPLightweight mock server handling asynchronous communication and task execution.
AgentManagerRegisters, runs, and manages AI agents dynamically.
MemoryPersistent data store for cross-agent communication and knowledge retention.
EventBusAsynchronous event-driven communication layer between agents.

🧠 Nanotech Agent Simulation

Included Agents

AgentPurpose
NanoScannerPerforms nanoscale structure scans, returning atomic-level data.
NanoSynthSynthesizes materials from scanned data using pattern simulation.
NanoAnalyzerEvaluates synthesized structures for stability and conductivity.

Example Output


🧬 Features

  • 🧩 Asynchronous Multi-Agent Framework
  • FastMCP Core Server for Event Scheduling
  • 🧠 Persistent Shared Memory (JSON-based)
  • 🔄 Fully Event-Driven Communication
  • 🧪 Nanotech Demo Built-In
  • 📱 Runs on Termux and Linux

🧪 Test Verification


🛠️ Installation

# Clone the repo
git clone https://github.com/AiGOVERNOR/Core-mcp-server.git
cd Core-mcp-server

# (Optional) virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Run nanotech demo
python3 -m agent_squad.main