Provides access to Performance Co-Pilot (PCP) system performance metrics through the Model Context Protocol (MCP).
Sponsored
PCP provides a bridge between Performance Co-Pilot (PCP) and the Model Context Protocol (MCP), enabling AI agents and other MCP clients to query detailed system performance metrics. It allows users to access real-time data on CPU, memory, disk I/O, network, processes, and more, facilitating advanced monitoring, troubleshooting, and capacity planning. By integrating with `pmproxy` and `pmcd`, it translates complex PCP metrics into an accessible format for intelligent systems.
Key Features
01Identify top processes by CPU, memory, or I/O usage
02Fetch current values for specific Performance Co-Pilot (PCP) metrics
03Retrieve detailed metadata and descriptions for any metric
04Generate point-in-time system snapshots for comprehensive overviews
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06Discover available metrics through pattern-based searches
Use Cases
01Troubleshoot performance bottlenecks and diagnose system issues
02Perform continuous system health checks and monitoring
03Inform capacity planning decisions by analyzing resource utilization trends
