# mcp-pprof-anaylzer

> Use this tool when you need to analyze performance profiles of Go applications, as it provides insights into CPU usage, memory allocation, and other performance metrics. The mcp-pprof-analyzer takes Go pprof performance profiles as input and generates detailed reports as output, helping to identify bottlenecks and optimize application performance. It is particularly useful for diagnosing and troubleshooting performance issues in Go-based systems.

Canonical page: https://skillsregistry.net/skills/zephyrdeng-pprof-analyzer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zephyrdeng-pprof-analyzer-mcp

## Description

This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/npjvoajg2a)
- **Repository:** <https://github.com/ZephyrDeng/pprof-analyzer-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": "zephyrdeng-pprof-analyzer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zephyrdeng-pprof-analyzer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zephyrdeng-pprof-analyzer-mcp/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