# Auralogs

> Use this tool when you need to troubleshoot AI performance or inspect production logs, as it provides read-only access to search logs, inspect errors, and review AI analyses, helping to identify and resolve issues. It solves problems related to AI model debugging, error analysis, and log inspection. Ideal for use cases where log data analysis is crucial, such as AI model optimization or error resolution.

Canonical page: https://skillsregistry.net/skills/ai-auralogs-auralogs  
JSON: https://api.skillsregistry.net/v1/skills/ai-auralogs-auralogs

## Description

Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.auralogs%2Fauralogs)
- **Repository:** <https://github.com/auralogs-ai/auralogs-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.auralogs.ai/mcp`

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": "ai-auralogs-auralogs"
    }
  }
}
```

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