Performance Co-Pilot
Query system performance metrics via MCP - CPU, memory, disk I/O, network, processes
What is Performance Co-Pilot?
Performance Co-Pilot is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to query system performance metrics via mcp - cpu, memory, disk i/o, network, processes
Query system performance metrics via MCP - CPU, memory, disk I/O, network, processes
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Query system performance metrics via MCP - CPU, memory, disk
Use Cases
Maintainer
Works with
Installation
PIP
pip install pcp-mcpManual Installation
pip install pcp-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Performance Co-Pilot
What is Performance Co-Pilot?
Performance Co-Pilot is a Model Context Protocol (MCP) server that query system performance metrics via mcp - cpu, memory, disk i/o, network, processes It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Performance Co-Pilot?
Install via pip with: pip install pcp-mcp. Then configure your AI client to connect to this MCP server.
Which AI clients work with Performance Co-Pilot?
Performance Co-Pilot works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Performance Co-Pilot free to use?
Yes, Performance Co-Pilot is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Performance Co-Pilot Alternatives — Similar Monitoring & Observability Servers
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OpenInference
★ 986OpenTelemetry Instrumentation for AI Observability
Browse More Monitoring & Observability MCP Servers
Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Performance Co-Pilot in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Performance Co-Pilot?
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