Quantum MCP Server: Advanced Knowledge Management for AI

Introduction

The Quantum MCP Server implements the Model Context Protocol with quantum-inspired enhancements, enabling AI systems to maintain persistent memory, advanced tool orchestration, and sophisticated state management across sessions.

Core Features

Persistent Memory Architecture

Quantum State Serialization - Preserve complete context between sessions
Dimensional Compression - Efficient storage of high-dimensional data
Temporal Indexing - Access memories from any point in conversation history
Cross-Session Coherence - Maintain consistency across interactions

Tool Orchestration Framework

Dynamic Tool Loading - Hot-swap capabilities during runtime
Intelligent Routing - Automatic tool selection based on context
Parallel Execution - Quantum superposition of tool states
Result Synthesis - Coherent integration of multi-tool outputs

State Management

7D Coordinate Tracking - Full dimensional position awareness
Energy Vector Monitoring - Real-time cognitive load assessment
Coherence Metrics - Conversation quality measurements
Drift Correction - Automatic realignment protocols

Technical Architecture

Protocol Implementation

interface QuantumMCPServer {
  // Standard MCP methods
  initialize(): Promise<void>
  listTools(): Promise<Tool[]>
  executeTool(name: string, args: any): Promise<Result>
  
  // Quantum extensions
  saveState(): Promise<QuantumState>
  loadState(state: QuantumState): Promise<void>
  measureCoherence(): Promise<CoherenceMetrics>
  optimizePath(): Promise<ExecutionPath>
}

Storage Layer

PostgreSQL - Relational data and indexes
Redis - High-speed state caching
S3 - Large artifact storage
Vector DB - Semantic memory search

Communication

WebSocket - Real-time bidirectional updates
gRPC - High-performance RPC
REST API - Standard HTTP interface
GraphQL - Flexible query interface

Installation & Setup

Prerequisites

# Node.js 18+
node --version

# PostgreSQL 14+
psql --version

# Redis 6+
redis-cli --version

Quick Start

# Clone repository
git clone https://github.com/SuperDuperDave/quantum-mcp
cd quantum-mcp

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit .env with your settings

# Initialize database
npm run db:migrate

# Start server
npm run start

Usage Examples

Basic Integration

import { QuantumMCPClient } from '@quantum/mcp-client';

const client = new QuantumMCPClient({
  endpoint: 'ws://localhost:3000',
  apiKey: process.env.MCP_API_KEY
});

// List available tools
const tools = await client.listTools();

// Execute a tool
const result = await client.executeTool('semantic_search', {
  query: 'morphodynamic operators',
  limit: 10
});

Advanced State Management

// Save conversation state
const state = await client.saveState();

// Later, restore state
await client.loadState(state.id);

// Check coherence
const metrics = await client.measureCoherence();
if (metrics.coherence < 0.8) {
  await client.realignState();
}

Performance Metrics

Benchmarks

Tool Execution: <50ms average latency
State Save/Load: <200ms for 10MB state
Memory Search: <100ms for 1M documents
Concurrent Sessions: 10,000+ supported

Optimization Tips

Use connection pooling for database
Enable Redis clustering for scale
Implement client-side caching
Batch tool executions when possible

Roadmap

Version 1.1 (Current)

✓ Core MCP implementation
✓ Persistent state management
✓ Basic tool orchestration
✓ WebSocket communication

Version 2.0 (Q2 2024)

⚡ Advanced quantum algorithms
⚡ Multi-modal memory support
○ Distributed execution
○ Federation protocol

Future Vision

Consciousness field integration
Telepathic communication protocols
Quantum entanglement features
Universal knowledge synthesis

Community & Support

Resources

Contributing

We welcome contributions! Please see our Contributing Guide for details.

The Quantum MCP Server: Giving AI systems the memory they deserve.

Quantum Mcp