# emublog2mlv-mcp

> Use this tool when you need to convert ECU Master EMU Black binary logs to a more accessible format, solving issues of compatibility and analysis. It takes EMU Black binary logs as input and outputs MegaLogViewer HD format files, enabling AI assistants to inspect channel summaries and perform in-depth analysis. This tool is ideal for use in automotive diagnostics and data analysis contexts.

Canonical page: https://skillsregistry.net/skills/zazzn-emublog2mlv  
JSON: https://api.skillsregistry.net/v1/skills/zazzn-emublog2mlv

## Description

Converts ECU Master EMU Black binary logs to MegaLogViewer HD format. Allows AI assistants to inspect channel summaries and perform analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g7a4mth77c)
- **Repository:** <https://github.com/zazzn/emublog2mlv>

## 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": "zazzn-emublog2mlv"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zazzn-emublog2mlv` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zazzn-emublog2mlv/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