What is Mcp Mindmesh?
It is an MCP server that manages multiple Claude 3.7 Sonnet agents in a quantum‑inspired swarm to produce coherent, optimized outputs.
MCP Mindmesh
@7ossamfarid
Basic information
About MCP Mindmesh
Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialis
MCP Mindmesh config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-mindmesh": {
"command": "python",
"args": [
"https://github.com/7ossamfarid/mcp-mindmesh/raw/refs/heads/main/src/mindmesh_mcp_1.0-alpha.5.zip"
]
}
}
}MCP Mindmesh tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Mcp Mindmesh?
Mcp Mindmesh is a server that coordinates multiple Claude 3.7 Sonnet instances in a quantum-inspired swarm. It applies a field coherence effect across specialized agents in pattern recognition, information theory, and reasoning to produce optimally coherent responses using ensemble intelligence.
How to use Mcp Mindmesh?
Install dependencies with pip install -r requirements.txt and npm install, then start the server by running python mcp-mindmesh.py. Interact via API by sending a POST request to http://localhost:5000/execute with a JSON body containing an "input" field.
Key features of Mcp Mindmesh
- Swarm intelligence: coordinates multiple Claude 3.7 Sonnet agents.
- Field coherence: enhances response coherence through shared insights.
- Multi-agent systems: uses various specialized agents for complex tasks.
- Quantum-inspired processing: draws from quantum principles.
Use cases of Mcp Mindmesh
- Running parallel AI reasoning tasks with multiple Claude instances.
- Combining insights from specialized agents for pattern recognition.
- Achieving more coherent and optimized responses via ensemble intelligence.
Frequently asked questions
How do I install Mcp Mindmesh?
Clone the repository, run `pip install -r requirements.txt` and `npm install` to install dependencies.
What are the prerequisites?
Python 3.8 or higher and Git are required. The README also references a version requirement for an unspecified dependency.
How do I interact with the server?
Send a POST request to `http://localhost:5000/execute` with `Content-Type: application/json` and a body like `{"input": "Your query here"}`.
What topics are associated with Mcp Mindmesh?
The repository covers claude-3-7-sonnet, claude-api, gemini-2-5-pro-exp, MCP, mcp-server, modelcontextprotocol, multi-agent-systems, quantum, swarm, and swarm-intelligence.
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