mcp-mindmesh
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MindMesh MCP Server is a quantum-inspired swarm of Claude 3.7 Sonnet instances with field coherence optimization, enabling enriched reasoning through multiple specialized LLM instances.
MindMesh MCP Server is a sophisticated implementation of the Model Context Protocol (MCP) that leverages quantum-inspired field computing to maintain coherence between multiple Claude 3.7 Sonnet instances. This server is designed to enhance reasoning capabilities by utilizing a swarm of specialized LLM instances that work together to produce emergent properties. The server integrates with WebContainer for a sandboxed execution environment and uses PGLite with vector storage for efficient data handling. It supports multiple Claude specializations, focusing on pattern recognition, information synthesis, and reasoning, and optimizes coherence to select the most coherent outputs. Additionally, it offers extended thinking support with a 128k token capability and real-time coherence notifications through PGLite live extension. The server also utilizes VoyageAI embeddings for high-quality state vector generation.
Features
- Quantum-Inspired Field Computing: Uses a field-based model to maintain coherence between Claude instances.
- WebContainer Integration: Full stack sandboxed environment for execution.
- PGLite with Vector Storage: Efficient vector database with pgvector extension.
- Multiple Claude Specializations: Instances focus on pattern recognition, information synthesis, and reasoning.
- Coherence Optimization: Selects the most coherent outputs across instances.
Tools
reason_with_swarm
Processes a prompt through multiple specialized Claude instances, returning the most coherent result.
