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"""
MCP Client for Agent2Robot
Handles communication with MCP servers for vehicle design
"""
import json
from typing import Dict, List, Any
class MCPClient:
"""Client for interacting with MCP servers for vehicle design tasks"""
def __init__(self):
self.connected = False
self.server_capabilities = {}
# Auto-connect on initialization for demo
self.connect()
def connect(self, server_url: str = None) -> bool:
"""Connect to MCP server"""
# Simulate connection for demo purposes
self.connected = True
self.server_capabilities = {
"design_optimization": True,
"performance_analysis": True,
"specification_generation": True,
"validation": True,
"simulation_generation": True
}
return True
def generate_design(self, vehicle_type: str, requirements: str) -> Dict[str, Any]:
"""Generate vehicle design using MCP server"""
if not self.connected:
self.connect()
# Simulate MCP server response
design_data = {
"vehicle_type": vehicle_type,
"requirements": requirements,
"optimization_score": 95,
"generated_features": [
"Advanced navigation system",
"Obstacle avoidance capabilities",
"Energy-efficient design",
"Modular architecture",
"Real-time sensor fusion",
"Adaptive control systems"
],
"performance_metrics": {
"speed": "Optimized for task requirements",
"efficiency": "95% energy efficiency",
"reliability": "High reliability rating",
"maintainability": "Excellent serviceability"
},
"technical_specs": {
"power_system": "Advanced battery management",
"sensors": "LiDAR, cameras, IMU, GPS",
"communication": "5G, WiFi, Bluetooth",
"processing": "Edge AI computing unit"
},
"simulation_ready": True
}
return design_data
def generate_simulation_video(self, design_specs: Dict[str, Any]) -> str:
"""Generate simulation video URL using MCP server"""
# Simulate video generation - in real implementation this would
# communicate with MCP server to generate actual simulation
vehicle_type = design_specs.get("vehicle_type", "robot").lower()
# Return a placeholder video URL or description
simulation_info = f"""
🎬 Simulation Video Generated via MCP Server
Vehicle Type: {design_specs.get('vehicle_type', 'Unknown')}
Simulation Status: ✅ Generated Successfully
Duration: 30 seconds
Resolution: 1080p HD
📊 Simulation Features:
• Physics-based movement simulation
• Environmental interaction modeling
• Performance metrics visualization
• Real-time sensor data overlay
🎯 Video Content:
• Vehicle navigation demonstration
• Obstacle avoidance scenarios
• Performance optimization display
• MCP-validated design execution
Note: Full video simulation requires MCP server connection.
For hackathon demo, this represents MCP-generated simulation data.
"""
return simulation_info
def validate_design(self, design_specs: Dict[str, Any]) -> Dict[str, Any]:
"""Validate design specifications using MCP server"""
return {
"valid": True,
"confidence": 0.95,
"validation_notes": "Design meets all requirements and constraints"
}
def get_server_info(self) -> Dict[str, Any]:
"""Get MCP server information"""
return {
"name": "Agent2Robot MCP Server",
"version": "1.0.0",
"capabilities": self.server_capabilities,
"status": "connected" if self.connected else "disconnected"
} |