# Performance Co-Pilot

> Use this tool when you need to monitor and analyze system performance metrics, such as CPU, memory, disk I/O, network, and processes, to troubleshoot issues and optimize system resources. It provides a query-based interface to retrieve performance data, allowing for efficient identification of bottlenecks and areas for improvement. Ideal for system administrators and developers seeking to resolve performance-related problems in various computing environments.

Canonical page: https://skillsregistry.net/skills/io-github-major-pcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-major-pcp

## Description

Query system performance metrics via MCP - CPU, memory, disk I/O, network, processes

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.major%2Fpcp)
- **Repository:** <https://github.com/major/pcp-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-major-pcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-major-pcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-major-pcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt