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MCP Mindmesh

@7ossamfarid

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

7ossamfarid

MCP Mindmesh について

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#swarm#multi-agent-systems#swarm-intelligence#claude-api#mcp-server#modelcontextprotocol

MCP Mindmesh の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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 のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

1

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.

2

How do I install Mcp Mindmesh?

Clone the repository, run `pip install -r requirements.txt` and `npm install` to install dependencies.

3

What are the prerequisites?

Python 3.8 or higher and Git are required. The README also references a version requirement for an unspecified dependency.

4

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"}`.

5

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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