# pygdbmi-mcp-server

> Use this tool when you need to dynamically debug programs with GDB, manage breakpoints, and control execution. It enables AI agents to execute GDB commands and inspect program state via the MCP protocol, providing a powerful interface for debugging and testing. Ideal for use cases requiring interactive debugging and program analysis.

Canonical page: https://skillsregistry.net/skills/cnitlrt-pygdbmi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cnitlrt-pygdbmi-mcp-server

## Description

Enables dynamic debugging with GDB via the MCP protocol, allowing LLMs to execute GDB commands, manage breakpoints, control execution, and inspect program state.

## 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:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nmykv3b4h3)
- **Repository:** <https://github.com/cnitlrt/pygdbmi-mcp-server>

## 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": "cnitlrt-pygdbmi-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cnitlrt-pygdbmi-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cnitlrt-pygdbmi-mcp-server/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