# mcp-pprof

> mcp-pprof — gwork1883-mcp-pprof. Use this tool when you need to expose Go pprof profiling data to AI coding assistants, solving performance optimization and debugging use cases. It takes profiling data as input and outputs it in a format compatible with the Model Context Protocol (MCP), allowing integration with tools like Cline, Continue, and Cursor. Ideal for use in development environments where AI-driven coding assistance is utilized.

Canonical page: https://skillsregistry.net/skills/gwork1883-mcp-pprof  
JSON: https://api.skillsregistry.net/v1/skills/gwork1883-mcp-pprof

## Description

mcp-pprof – Expose Go pprof profiling data to any AI coding assistant via the Model Context Protocol (MCP). Works with Cline, Continue, Cursor, and more.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gwork1883/mcp-pprof)

## 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": "gwork1883-mcp-pprof"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gwork1883-mcp-pprof` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gwork1883-mcp-pprof/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