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MCP Integration & Mock Replacement Plan

Overview

This plan systematically replaces all 60+ mock implementations with real, MCP-compliant code while maintaining the MCP-first architecture principles.

Phase 1: Core MCP Infrastructure (Immediate)

1.1 Create Real MCP Server Base

Replace mock-gcp-api with actual MCP server implementation.

Files to Update:

  • test_mcp_debug_quantum.py (10 instances)
  • test_mcp_debug_simple.py (7 instances)

Implementation:

# mcp_server/real_mcp_server.py
from mcp.server import Server, stdio_transport
from mcp.types import Tool, TextContent
import asyncio
import logging

class RealMCPServer:
    """Production MCP server with real endpoints"""
    
    def __init__(self):
        self.server = Server("mcp-real-server")
        self.setup_tools()
    
    def setup_tools(self):
        @self.server.tool()
        async def quantum_optimize(problem_data: dict) -> TextContent:
            """Real quantum optimization via D-Wave"""
            # Real implementation using D-Wave SDK
            pass
        
        @self.server.tool()
        async def process_data(data: dict) -> TextContent:
            """Real data processing"""
            # Real implementation
            pass

1.2 Replace MCPDebugTool Mock URLs

Action: Create environment-based configuration

# config/mcp_config.py
import os
from typing import Dict, Any

class MCPConfig:
    """MCP configuration with real endpoints"""
    
    @staticmethod
    def get_endpoints() -> Dict[str, str]:
        return {
            'mcp_server': os.getenv('MCP_SERVER_URL', 'http://localhost:8090'),
            'quantum_api': os.getenv('DWAVE_API_URL', 'https://cloud.dwavesys.com/sapi/v2'),
            'data_api': os.getenv('DATA_API_URL', 'http://localhost:8091/api'),
        }

Phase 2: Quantum Computing Integration (Priority)

2.1 Remove SimulatedAnnealingSampler Fallback

File: connectors/dwave_quantum_connector.py

Current Issue: Falls back to simulation when no QPU available Solution: Implement proper error handling and cloud QPU access

# Updated quantum connector
class DWaveQuantumConnector(MCPConnector):
    def __init__(self):
        super().__init__()
        self.client = Client.from_config()
        
    async def get_solver(self):
        """Get real QPU solver or raise error"""
        solvers = self.client.get_solvers(qpu=True)
        if not solvers:
            # Don't fall back to simulation - require real QPU
            raise RuntimeError(
                "No QPU available. Please ensure D-Wave Leap access is configured. "
                "Set DWAVE_API_TOKEN environment variable."
            )
        return solvers[0]

2.2 Real Quantum MCP Tools

Create MCP tools for quantum operations:

# mcp_server/quantum_tools.py
@server.tool()
async def quantum_annealing(
    h: Dict[int, float],
    J: Dict[tuple, float],
    num_reads: int = 1000
) -> dict:
    """Real quantum annealing on D-Wave QPU"""
    connector = DWaveQuantumConnector()
    solver = await connector.get_solver()
    
    # Submit to real QPU
    computation = solver.sample_ising(h, J, num_reads=num_reads)
    result = computation.result()
    
    return {
        "solutions": result.samples,
        "energies": result.energies,
        "qpu_access_time": result.info['qpu_access_time']
    }

Phase 3: Data Processing & Agent Integration

3.1 Replace Mock Data Processors

Files to Update:

  • protocols/data_processor.py
  • analyzers/pattern_detector.py
# protocols/real_data_processor.py
class RealDataProcessor:
    """Real data processing with MCP integration"""
    
    async def process(self, data_path: str) -> dict:
        # Real file processing
        files = Path(data_path).glob('**/*')
        results = []
        
        for file in files:
            if file.is_file():
                # Process real file
                with open(file, 'r') as f:
                    content = f.read()
                    # Real processing logic
                    results.append({
                        'file': str(file),
                        'size': file.stat().st_size,
                        'processed': True
                    })
        
        return {
            'status': 'success',
            'files_processed': len(results),
            'results': results
        }

3.2 Implement Missing Agent Methods

Files:

  • agents/a2a_mcp_integration.py
  • agents/specialized/code_generator.py
# agents/a2a_mcp_integration.py
class A2AMCPIntegration:
    async def analyze_data(self, data: Dict[str, Any]) -> Dict[str, Any]:
        """Real data analysis using MCP tools"""
        async with mcp_client() as client:
            result = await client.call_tool(
                "data_analysis",
                {"data": data, "analysis_type": "comprehensive"}
            )
            return result
    
    async def generate_code(self, spec: Dict[str, Any]) -> str:
        """Real code generation using MCP"""
        async with mcp_client() as client:
            result = await client.call_tool(
                "code_generation",
                {"specification": spec, "language": "python"}
            )
            return result

Phase 4: UI/Frontend Mock Removal

4.1 Replace Mock Search Results

File: ui/Build a Website Guide/search.tsx

// Real search implementation
const realSearch = async (query: string): Promise<SearchResult[]> => {
  const response = await fetch('/api/mcp/search', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ query })
  });
  
  return response.json();
};

4.2 Real Data Integration

File: ui/Build a Website Guide/data-integration.ts

class RealDataIntegration {
  async connectToSource(config: DataSourceConfig): Promise<Connection> {
    // Real MCP connection
    const mcpClient = new MCPClient(config.endpoint);
    await mcpClient.connect();
    
    return {
      id: mcpClient.connectionId,
      status: 'connected',
      client: mcpClient
    };
  }
}

Phase 5: Testing & Validation

5.1 Create MCP Compliance Tests

# tests/test_mcp_compliance.py
import pytest
from mcp.client import Client

class TestMCPCompliance:
    @pytest.mark.asyncio
    async def test_all_tools_use_mcp(self):
        """Ensure all tools are MCP-compliant"""
        client = Client()
        tools = await client.list_tools()
        
        for tool in tools:
            assert tool.transport == "mcp"
            assert not "mock" in tool.name.lower()
            assert not "simulated" in tool.name.lower()

5.2 Integration Tests

# tests/test_real_integrations.py
class TestRealIntegrations:
    @pytest.mark.asyncio
    async def test_quantum_integration(self):
        """Test real quantum computing integration"""
        connector = DWaveQuantumConnector()
        
        # This should connect to real QPU
        solver = await connector.get_solver()
        assert solver.qpu
        
        # Run real quantum computation
        result = await connector.solve_qubo({(0,0): -1, (1,1): -1, (0,1): 2})
        assert result['solutions']

Implementation Schedule

Week 1: Core Infrastructure

  • Day 1-2: Set up real MCP server
  • Day 3-4: Replace all mock-gcp-api references
  • Day 5: Create configuration system

Week 2: Quantum & Data

  • Day 1-2: Fix quantum connector (remove simulation)
  • Day 3-4: Implement real data processors
  • Day 5: Complete agent implementations

Week 3: UI & Testing

  • Day 1-2: Replace UI mock data
  • Day 3-4: Create comprehensive tests
  • Day 5: Final validation

Success Metrics

  • ✅ 0 mock implementations in codebase
  • ✅ 100% MCP compliance for all tools
  • ✅ All quantum operations use real QPU
  • ✅ All data processing uses real files
  • ✅ All API calls go to real endpoints

Environment Variables Required

# .env
MCP_SERVER_URL=http://localhost:8090
DWAVE_API_TOKEN=your-real-token
DATA_API_URL=http://localhost:8091/api
DATABASE_URL=postgresql://user:pass@localhost:5432/db
REDIS_URL=redis://localhost:6379

Validation Checklist

  • No "mock", "fake", or "simulated" in production code
  • All endpoints are configurable via environment
  • All MCP tools have real implementations
  • Quantum operations require real QPU access
  • Data processing works with real files
  • UI connects to real backend APIs
  • All tests pass with real services