# GEF

> Use this tool when you need to enhance your debugging capabilities with advanced features like memory inspection and register viewing. It solves problems related to complex code analysis and error detection by providing a robust interface for GDB and GEF commands. It accepts inputs via SSE or stdio and outputs detailed debugging information, making it ideal for use in AI-assisted development workflows requiring concurrent debugging sessions.

Canonical page: https://skillsregistry.net/skills/xuanmusec-gef  
JSON: https://api.skillsregistry.net/v1/skills/xuanmusec-gef

## Description

Integrate GDB Enhanced Features (GEF) debugging capabilities into AI-assisted development workflows. The server supports up to four concurrent debugging sessions over SSE or stdio and exposes GDB and GEF commands including memory inspection, register viewing, heap analysis, and memory pattern searching.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/xuanmusec-gef)
- **Repository:** <https://github.com/xuanmusec/gef-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": "xuanmusec-gef"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xuanmusec-gef` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xuanmusec-gef/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