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mcp-mindmesh

by wheattoast11·★ 1·Score 28

An MCP server that orchestrates multiple Claude 3.7 Sonnet instances in a quantum-inspired swarm with field coherence optimization.

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Overview

MindMesh MCP Server implements a sophisticated swarm architecture using multiple specialized Claude 3.7 Sonnet instances working together with emergent properties. It features quantum-inspired field computing for coherence between instances, WebContainer integration for sandboxed execution, and PGLite with vector storage for efficient state management. The server processes queries through multiple specialized AI instances focusing on pattern recognition, information synthesis, and reasoning, then selects the most coherent response through its optimization algorithm.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Complex problem analysis requiring multi-perspective reasoning
you:Research and knowledge synthesis across specialized domains
you:Enhanced decision making through ensemble intelligence
you:What makes this different from a standard Claude API call?
you:Can I use this without a VoyageAI API key?

When to choose this

Choose this server when you need ensemble AI reasoning with field coherence across multiple specialized instances, particularly for complex multi-domain analysis tasks.

When NOT to choose this

Avoid if you need a lightweight solution or have concerns about vendor lock-in to Anthropic's API and VoyageAI's embedding service.

Tools this server exposes

1 tool extracted from the README
  • reason_with_swarm

    Processes a prompt through multiple specialized Claude instances and returns the most coherent result.

Comparable tools

claude-desktopllama-stackopenai-mcp-serversemantic-kernel-mcp

Installation

Installation

  1. Clone the repository:

``bash git clone https://github.com/wheattoast11/mcp-mindmesh.git cd mcp-mindmesh ``

  1. Install dependencies:

``bash npm install ``

  1. Create and configure environment:

``bash cp .env.template .env # Edit .env with your API keys ``

  1. Build and start:

``bash npm run build npm start ``

For Claude Desktop, add to claude_desktop_config.json:

{
  "mcpServers": {
    "mindmesh": {
      "command": "node",
      "args": ["dist/index.js"],
      "env": {
        "ANTHROPIC_API_KEY": "your-api-key"
      }
    }
  }
}

FAQ

What makes this different from a standard Claude API call?
This server orchestrates multiple specialized Claude instances working together with quantum-inspired field coherence, producing ensemble intelligence that can achieve more coherent and comprehensive results than a single instance.
Can I use this without a VoyageAI API key?
Yes, the server will fall back to a simpler, deterministic embedding method if VoyageAI API key is not provided, though results may be less optimal.

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Last updated · Auto-generated from public README + GitHub signals.