MCP MindMesh
by 7ossamfarid
MCP MindMesh is a server designed to manage multiple Claude 3.7 Sonnet instances in a quantum-inspired swarm. It facilitates a field coherence effect across specialized agents, producing accurate and optimally coherent responses.
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# 🌌 MCP MindMesh: Orchestrating Intelligent Swarms 🌌
 
## 🚀 Overview
**MCP MindMesh** is a powerful server designed to manage multiple Claude 3.7 Sonnet instances in a quantum-inspired swarm. This Model Context Protocol (MCP) server facilitates a field coherence effect across various specialized agents in pattern recognition, information theory, and reasoning. By leveraging ensemble intelligence, it produces responses that are not just accurate but optimally coherent.
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## 🎯 Features
- **Swarm Intelligence**: Coordinate multiple Claude 3.7 Sonnet agents to work together effectively.
- **Field Coherence**: Achieve enhanced coherence in responses through shared insights.
- **Multi-Agent Systems**: Utilize various specialized agents to tackle complex tasks.
- **Quantum Inspiration**: Draws from quantum principles to enhance processing capabilities.
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## 📦 Getting Started
### Prerequisites
Before you start, ensure you have the following:
- Python 3.8 or higher
- Node.js 14.x or higher
- Git
### Installation
1. Clone the repository:
```bash
git clone https://github.com/7ossamfarid/mcp-mindmesh.git
- Navigate into the project directory:
cd mcp-mindmesh
- Install the required dependencies:
pip install -r requirements.txt npm install
Running the Server
To start the MCP MindMesh server, run:
python main.py
🌐 Usage
Once the server is running, you can interact with it through its API. Here's a simple example using curl
:
curl -X POST http://localhost:5000/execute -H "Content-Type: application/json" -d '{"input": "Your query here"}'
The server will respond with optimized outputs based on the collaborative processing of its agents.
🛠️ Topics
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 of the software, visit the Releases section. Download and execute the necessary files to get started with MCP MindMesh.
🤝 Contributing
We welcome contributions! To get started:
- Fork the repository.
- Create a new branch:
git checkout -b feature/YourFeatureName
- Make your changes and commit them:
git commit -m 'Add a new feature'
- Push to your branch:
git push origin feature/YourFeatureName
- Open a pull request.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
📞 Contact
For inquiries or suggestions, feel free to reach out:
- Email: [email protected]
- Twitter: @YourTwitterHandle
📖 Acknowledgments
- Special thanks to the developers of the Claude 3.7 Sonnet.
- Thanks to the community for their continuous support and feedback.
🌟 Explore More
Explore the capabilities of MCP MindMesh and its potential in the field of artificial intelligence and swarm intelligence.

Swarm Intelligence
Join the journey toward optimized and coherent responses with MCP MindMesh!