# DebugForge

> Use this tool when you need to automate debugging processes with AI agents, leveraging the power of Lauterbach TRACE32 debuggers to analyze and control program execution. DebugForge bridges the gap between human debugging and autonomous issue resolution, providing 47 tools for inspection and control. It accepts inputs from AI agents and outputs detailed debugging information, ideal for use cases where efficient and rapid debugging is crucial.

Canonical page: https://skillsregistry.net/skills/yangpan2020-debugforge  
JSON: https://api.skillsregistry.net/v1/skills/yangpan2020-debugforge

## Description

MCP server bridging Lauterbach TRACE32 debuggers to AI agents for autonomous debugging, providing 47 tools for execution control, breakpoints, memory, registers, variables, and symbol inspection.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fedqmqez1q)
- **Repository:** <https://github.com/YangPan2020/debugforge>

## 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": "yangpan2020-debugforge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yangpan2020-debugforge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yangpan2020-debugforge/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