# embeddedgdbmcp

> embeddedgdbmcp — ezulabs-embeddedgdbmcp. Use this tool when you need to debug embedded systems efficiently, as it utilizes AI to identify bugs in seconds, saving hours of manual debugging time. It takes embedded system code as input and outputs debugged code or bug reports, streamlining the development process. Ideal for use in iterative development environments, such as those using git for version control.

Canonical page: https://skillsregistry.net/skills/ezulabs-embeddedgdbmcp  
JSON: https://api.skillsregistry.net/v1/skills/ezulabs-embeddedgdbmcp

## Description

Debug embedded systems with AI. Find bugs in seconds, not hours.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ezulabs/embeddedgdbmcp)

## 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": "ezulabs-embeddedgdbmcp"
    }
  }
}
```

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