Provides access to Performance Co-Pilot (PCP) system performance metrics through the Model Context Protocol (MCP).
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About
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
Identify top processes by CPU, memory, or I/O usage
Fetch current values for specific Performance Co-Pilot (PCP) metrics
Retrieve detailed metadata and descriptions for any metric
Generate point-in-time system snapshots for comprehensive overviews
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Discover available metrics through pattern-based searches
Use Cases
Troubleshoot performance bottlenecks and diagnose system issues
Perform continuous system health checks and monitoring
Inform capacity planning decisions by analyzing resource utilization trends
