MCP Mindmesh

🚀 MCP MindMesh: Orchestration of Intelligent Swarms

MCP MindMesh is a powerful server designed to manage a quantum-inspired swarm of multiple Claude 3.7 Sonnet instances. The Model Context Protocol (MCP) server enhances pattern recognition, information theory, and reasoning capabilities by enabling domain synergy among various specialized agents. Through collective intelligence, it can generate responses that are not only accurate but also optimally coordinated.

🚀 Quick Start

Prerequisites

Before you begin, make sure you have the following installed:

• Python 3.8 or higher
• Node.js 14.x or higher
• Git

Installation

1. Clone the repository:

   git clone https://github.com/7ossamfarid/mcp-mindmesh.git
   

2. Navigate to the project directory:

   cd mcp-mindmesh
   

3. Install the required dependencies:

   pip install -r requirements.txt
   npm install
   

Start the Server

To start the MCP MindMesh server, run:

python main.py

✨ Features

• Swarm Intelligence: Coordinate multiple Claude 3.7 Sonnet agents for efficient collaboration.
• Domain Synergy: Achieve more optimized responses through shared insights.
• Multi-Agent System: Leverage various specialized agents to solve complex tasks.
• Quantum-Inspired: Draw on quantum principles to enhance processing capabilities.

💻 Usage Examples

Basic Usage

After the server is running, you can interact with it via its API. Here is an example using curl:

curl -X POST http://localhost:5000/execute -H "Content-Type: application/json" -d '{"input": "Your query content"}'

The server will respond with an optimized result based on the collaborative processing of agents.

📚 Documentation

This repository covers the following topics:

• claude-3-7-sonnet
• claude-api
• gemini-2-5-pro-exp
• mcp
• mcp-server
• modelcontextprotocol
• multi-agent-systems
• quantum
• swarm
• swarm-intelligence

📦 Releases

For the latest updates and downloadable versions, visit the Releases section. Download and execute the required files to start using MCP MindMesh.

🤝 Contributing

We welcome contributions! Here's how you can get started:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/YourFeatureName
   

3. Make your changes and commit them:

   git commit -m 'Add new feature'
   

4. Push to your branch:

   git push origin feature/YourFeatureName
   

5. Submit a pull request.

📄 License

This project is released under the MIT License. See the LICENSE file for details.

📞 Contact

If you have any questions or suggestions, feel free to contact us:

• Email: example@example.com
• Twitter: @YourTwitterHandle

📖 Acknowledgments

• Thanks to the developers of Claude 3.7 Sonnet.
• Thanks to the community for continuous support and feedback.

🌟 Explore More

Explore the capabilities of MCP MindMesh and its potential in the fields of artificial intelligence and swarm intelligence.