# mcp-ai-incident-db

> mcp-ai-incident-db — pipeworx-io-mcp-ai-incident-db. Use this tool when you need to track and manage AI-related incidents, errors, or failures in a centralized database, solving problems of incident monitoring, analysis, and resolution. It accepts incident reports and metadata as inputs and provides searchable, organized incident records as outputs. Utilize it in contexts where AI model reliability, transparency, and accountability are crucial, such as in machine learning development or AI-powered system operations.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-ai-incident-db  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-ai-incident-db

## Description

AI Incident Database (AIID) MCP

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-ai-incident-db)

## 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": "pipeworx-io-mcp-ai-incident-db"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-ai-incident-db` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-ai-incident-db/pull`

---
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