monitoring_tools.py•3.24 kB
"""Cloud Monitoring tools for MCP server."""
import json
from datetime import datetime, timedelta
from typing import Any, Dict, List
import structlog
from mcp.types import Tool, TextContent
from ..auth import GCPAuthenticator
from ..config import Config
from ..exceptions import GCPServiceError, ValidationError
logger = structlog.get_logger(__name__)
class MonitoringTools:
"""Cloud Monitoring tools for analyzing GCP metrics."""
def __init__(self, authenticator: GCPAuthenticator, config: Config):
"""Initialize monitoring tools.
Args:
authenticator: GCP authenticator instance
config: Configuration object
"""
self.authenticator = authenticator
self.config = config
async def initialize(self) -> None:
"""Initialize the monitoring tools."""
if not self.authenticator.monitoring_client:
raise GCPServiceError("Monitoring client not initialized")
logger.info("Monitoring tools initialized")
async def get_tools(self) -> List[Tool]:
"""Get available monitoring tools."""
return [
Tool(
name="get_metrics",
description="Retrieve metrics from Google Cloud Monitoring. Useful for performance analysis and capacity planning.",
inputSchema={
"type": "object",
"properties": {
"project_id": {
"type": "string",
"description": "GCP project ID (optional)"
},
"metric_type": {
"type": "string",
"description": "Metric type (e.g., 'compute.googleapis.com/instance/cpu/utilization')"
},
"time_range": {
"type": "string",
"description": "Time range (e.g., '1h', '6h', '1d')",
"default": "1h"
}
},
"required": ["metric_type"]
}
)
]
async def handle_tool_call(self, name: str, arguments: Dict[str, Any]) -> List[TextContent]:
"""Handle tool calls for monitoring operations."""
try:
if name == "get_metrics":
return await self._get_metrics(arguments)
else:
raise ValidationError(f"Unknown monitoring tool: {name}")
except Exception as e:
logger.error("Monitoring tool failed", tool=name, error=str(e))
return [TextContent(type="text", text=f"Error executing {name}: {str(e)}")]
async def _get_metrics(self, args: Dict[str, Any]) -> List[TextContent]:
"""Get metrics from Cloud Monitoring."""
# Placeholder implementation
response = {
"message": "Monitoring tools implementation coming soon",
"requested_metric": args.get("metric_type"),
"time_range": args.get("time_range", "1h")
}
return [TextContent(type="text", text=json.dumps(response, indent=2))]