# lldb-mcp

> Use this tool when you need to interact with LLDB debugging sessions using natural language commands, enabling efficient debugging tasks like setting breakpoints and evaluating expressions. It solves problems of complex debugging workflows by providing a standardized MCP interface for AI assistants to input commands and receive outputs. This tool is ideal for use cases where developers require intuitive and automated debugging processes.

Canonical page: https://skillsregistry.net/skills/ant4g0nist-lisa-py  
JSON: https://api.skillsregistry.net/v1/skills/ant4g0nist-lisa-py

## Description

Enables AI assistants to interact with LLDB debugging sessions through a standardized MCP interface, allowing natural language commands for debugging tasks like setting breakpoints, stepping, and evaluating expressions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mpumg1u5jp)
- **Repository:** <https://github.com/ant4g0nist/lisa.py>

## 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": "ant4g0nist-lisa-py"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ant4g0nist-lisa-py` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ant4g0nist-lisa-py/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