# embedded-gdb-mcp

> Use this tool when you need to debug embedded systems code and require an intuitive interface to manage GDB sessions. It solves problems such as complex debugging workflows and limited visibility into system internals by allowing users to interact with GDB via natural language commands. The tool accepts voice or text inputs and provides outputs such as memory dumps, register values, and variable states.

Canonical page: https://skillsregistry.net/skills/vividcode-ai-embedded-gdb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vividcode-ai-embedded-gdb-mcp

## Description

Enables GDB debugging for embedded development workflows, allowing users to start sessions, load programs, set breakpoints, step through code, and examine memory/registers/variables via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xjhnnn4t72)
- **Repository:** <https://github.com/vividcode-ai/embedded-gdb-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": "vividcode-ai-embedded-gdb-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vividcode-ai-embedded-gdb-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vividcode-ai-embedded-gdb-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