# ha-exception-debug

> ha-exception-debug — bbangert-ha-exception-debug. Use this tool when you need to debug and analyze exceptions in Home Assistant, as it provides a live post-mortem debugger that allows listing captured exceptions, walking traceback frames, and evaluating Python code in the context of a captured frame. It solves problems related to identifying and resolving errors in Home Assistant, providing valuable insights into exception causes and effects. By using this tool, AI agents can input exception IDs and output detailed debug information, making it ideal for use cases where in-depth error analysis is required.

Canonical page: https://skillsregistry.net/skills/bbangert-ha-exception-debug  
JSON: https://api.skillsregistry.net/v1/skills/bbangert-ha-exception-debug

## Description

A live post-mortem debugger MCP server for Home Assistant that lets AI agents list captured exceptions, walk traceback frames, read local variables, and optionally evaluate Python in the context of a captured frame for true post-mortem debugging.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tb0nl2htwe)
- **Repository:** <https://github.com/bbangert/ha-exception-debug>

## 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": "bbangert-ha-exception-debug"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bbangert-ha-exception-debug` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bbangert-ha-exception-debug/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