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Independent project, not affiliated with Anthropic

Performance Co-Pilot

major/pcp-mcp
STDIOregistry active
Summary

Connects to Performance Co-Pilot's pmproxy REST API to expose system metrics through five MCP tools: get_system_snapshot for CPU, memory, disk, and network overview; get_process_top for sorting processes by resource usage; query_metrics for fetching specific PCP metrics; search_metrics for discovery; and describe_metric for metadata. Built on FastMCP, runs via uvx without installation, and works against localhost pmcd by default or any remote host via PCP_TARGET_HOST. You'd reach for this when troubleshooting performance issues or capacity planning, asking Claude to analyze bottlenecks, compare resource trends, or identify which processes are consuming resources. Requires PCP with pmcd and pmproxy running on the monitored systems.

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pcp-mcp

MCP server for Performance Co-Pilot (PCP) metrics.

Query system performance metrics via the Model Context Protocol - CPU, memory, disk I/O, network, processes, and more.

📖 Full Documentation | 🚀 Getting Started

CI codecov PyPI version Python 3.10+ License: MIT

🚀 Quick Start (No Install)

Run immediately with uvx — no installation required:

uvx pcp-mcp

Or install as a persistent global tool:

uvx tool install pcp-mcp
pcp-mcp

📦 Installation

pip install pcp-mcp

Or with uv:

uv add pcp-mcp

📋 Requirements

  • Python: 3.10+
  • PCP: Performance Co-Pilot with pmcd and pmproxy running
    # Fedora/RHEL/CentOS
    sudo dnf install pcp
    sudo systemctl enable --now pmcd pmproxy
    
    # Ubuntu/Debian
    sudo apt install pcp
    sudo systemctl enable --now pmcd pmproxy
    

⚙️ Configuration

Configure via environment variables:

VariableDescriptionDefault
PCP_HOSTpmproxy hostlocalhost
PCP_PORTpmproxy port44322
PCP_TARGET_HOSTTarget pmcd host to monitorlocalhost
PCP_USE_TLSUse HTTPS for pmproxyfalse
PCP_TLS_VERIFYVerify TLS certificatestrue
PCP_TLS_CA_BUNDLEPath to custom CA bundle(optional)
PCP_TIMEOUTRequest timeout (seconds)30
PCP_USERNAMEHTTP basic auth user(optional)
PCP_PASSWORDHTTP basic auth password(optional)
PCP_ALLOWED_HOSTSHostspecs allowed via host param(optional)

🎯 Usage

Monitor localhost (default)

pcp-mcp

Monitor a remote host

PCP_TARGET_HOST=webserver1.example.com pcp-mcp

Or use the CLI flag:

pcp-mcp --target-host webserver1.example.com

Connect to remote pmproxy

PCP_HOST=metrics.example.com pcp-mcp

Use SSE transport

pcp-mcp --transport sse

🔌 MCP Client Configuration

Claude Desktop

Add to ~/.config/claude/claude_desktop_config.json:

{
  "mcpServers": {
    "pcp": {
      "command": "uvx",
      "args": ["pcp-mcp"]
    }
  }
}

For remote monitoring:

{
  "mcpServers": {
    "pcp": {
      "command": "uvx",
      "args": ["pcp-mcp", "--target-host", "webserver1.example.com"]
    }
  }
}

💡 Using uvx means you don't need pcp-mcp installed — it runs directly from PyPI.

🛠️ Available Tools

System Monitoring

  • get_system_snapshot - Point-in-time system overview (CPU, memory, disk, network, load)
  • get_process_top - Top processes by CPU, memory, or I/O usage
  • query_metrics - Fetch current values for specific PCP metrics
  • search_metrics - Discover available metrics by name pattern
  • describe_metric - Get detailed metadata about a metric

Example Queries

"What's the current CPU usage?"
→ Uses get_system_snapshot

"Show me the top 10 processes by memory usage"
→ Uses get_process_top(sort_by="memory", limit=10)

"What metrics are available for network traffic?"
→ Uses search_metrics(pattern="network")

"Get detailed info about kernel.all.load"
→ Uses describe_metric(name="kernel.all.load")

💡 Use Cases

Performance Troubleshooting

Ask Claude to:

  • "Analyze current system performance and identify bottlenecks"
  • "Why is my disk I/O so high?"
  • "Which processes are consuming the most CPU?"

System Monitoring

  • "Give me a health check of the production server"
  • "Compare CPU usage over the last minute"
  • "Monitor network traffic on eth0"

Capacity Planning

  • "What's the memory utilization trend?"
  • "Show me disk usage across all filesystems"
  • "Analyze process resource consumption patterns"

🏗️ Architecture

┌─────────┐         ┌─────────┐          ┌─────────┐         ┌─────────┐
│   LLM   │ ◄─MCP─► │ pcp-mcp │ ◄─HTTP─► │ pmproxy │ ◄─────► │  pmcd   │
└─────────┘         └─────────┘          └─────────┘         └─────────┘
                                         (REST API)          (metrics)
  • pcp-mcp: FastMCP server exposing PCP metrics via MCP tools
  • pmproxy: PCP's REST API server (runs on port 44322 by default)
  • pmcd: PCP metrics collector daemon
  • Remote monitoring: Set PCP_TARGET_HOST to query a different pmcd instance via pmproxy

🔧 Development

# Install dependencies
uv sync --dev

# Run all checks
make check

# Individual commands
make lint       # ruff check
make format     # ruff format
make typecheck  # ty check
make test       # pytest with coverage

📖 Documentation

Full documentation at https://major.github.io/pcp-mcp

📄 License

MIT

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Configuration

PCP_HOST

pmproxy host

PCP_PORT

pmproxy port

PCP_TARGET_HOST

Target pmcd host to monitor

Categories
AI & LLM Tools
Registryactive
Packagepcp-mcp
TransportSTDIO
UpdatedMar 26, 2026
View on GitHub

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