# Ai Incident Db (npm · @pipeworx/mcp-ai-incident-db)

AI Incident Database (AIID) MCP

- Trust score: 84/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `gateway.pipeworx.io`: 77/100, [markdown](https://verifymcp.io/servers/pipeworx-io-ai-incident-db/ai-incident-db-mcp.md), [page](https://verifymcp.io/servers/pipeworx-io-ai-incident-db/ai-incident-db-mcp)
- npm · `@pipeworx/mcp-ai-incident-db`: 84/100 (this document), [markdown](https://verifymcp.io/servers/pipeworx-io-ai-incident-db/pipeworx-mcp-ai-incident-db.md), [page](https://verifymcp.io/servers/pipeworx-io-ai-incident-db/pipeworx-mcp-ai-incident-db)

## Channel facts

- Registry: `npm`
- Package: `@pipeworx/mcp-ai-incident-db`
- Version: `0.2.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - No production dependencies, so there is no dependency health to assess.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-ai-incident-db).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 6 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 73/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 309 tokens (~77/item across 4 items; 4 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 23/100
  - Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the Ai Incident Db MCP server?

Ai Incident Db runs locally as an npm package, launched with npx -y @pipeworx/mcp-ai-incident-db. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add pipeworx-io-ai-incident-db -- npx -y @pipeworx/mcp-ai-incident-db
```

### Cursor

```json
{
  "mcpServers": {
    "pipeworx-io-ai-incident-db": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-ai-incident-db"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "pipeworx-io-ai-incident-db": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-ai-incident-db"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add pipeworx-io-ai-incident-db -- npx -y @pipeworx/mcp-ai-incident-db
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "pipeworx-io-ai-incident-db": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@pipeworx/mcp-ai-incident-db"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add pipeworx-io-ai-incident-db --command npx --arg -y --arg @pipeworx/mcp-ai-incident-db
```

### Hermes

```yaml
mcp_servers:
  pipeworx-io-ai-incident-db:
    command: "npx"
    args: ["-y", "@pipeworx/mcp-ai-incident-db"]
```

### Netclaw

```json
{
  "McpServers": {
    "pipeworx-io-ai-incident-db": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@pipeworx/mcp-ai-incident-db"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add pipeworx-io-ai-incident-db -t stdio -c npx -a -y @pipeworx/mcp-ai-incident-db
```

### Other

```json
{
  "mcpServers": {
    "pipeworx-io-ai-incident-db": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-ai-incident-db"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 84, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-03 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-31 (score 82, +1)

- [functional regression] Security disclosure: unverified → fail

### 2026-10-30 (score 81, 0)

- [functional improvement] Stability: unverified → 0.03
- [functional] Package version: 0.2.0 → 0.2.1

### 2026-10-29 (score 81)

First indexed and scored.

## MCP tools (4)

### `search_incidents` (~141 tokens)

Search the AI Incident Database. Combines free-text with date range filters. Returns incident IDs, titles, dates, and a short blurb.

Input parameters:

- `end_date` (string): YYYY-MM-DD upper bound
- `limit` (number): 1-200 (default 25)
- `offset` (number): 0-based offset
- `query` (string): Free-text. Every word must appear somewhere in the incident title or description, in any order — "facial recognition bias" finds records mentioning all three, not that exact phrase. Fewer words match…
- `start_date` (string): YYYY-MM-DD lower bound on incident date

### `get_incident` (~57 tokens)

Fetch a full AI Incident Database record by numeric incident_id; returns title, date, description, alleged deployer/developer/harmed parties, and all linked news report URLs.

Input parameters:

- `incident_id` (number, required): Numeric AIID incident id

### `list_recent` (~28 tokens)

Most recently added incidents.

Input parameters:

- `limit` (number): 1-50 (default 10)

### `list_taxonomies` (~27 tokens)

Taxonomies used to classify incidents (CSET-AIID, GMF, RAIC).

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/pipeworx-io-ai-incident-db/pipeworx-mcp-ai-incident-db#diagnostics

## Score history

- 2026-11-05: 84
- 2026-11-04: 83
- 2026-11-03: 83
- 2026-11-02: 82
- 2026-11-01: 82
- 2026-10-31: 82
- 2026-10-30: 81
- 2026-10-29: 81

## Common questions

### What is the Ai Incident Db MCP server?

Ai Incident Db is an MCP server listed in the public MCP registry as io.github.pipeworx-io/ai-incident-db. AI Incident Database (AIID) MCP. This page covers its npm package (@pipeworx/mcp-ai-incident-db).

### Is the Ai Incident Db MCP server safe to use?

Ai Incident Db scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Ai Incident Db MCP server expose?

Ai Incident Db exposes 4 tools: search_incidents, get_incident, list_recent, list_taxonomies. Their descriptions and schemas cost roughly 253 tokens of context every time the server is loaded.

### Is the Ai Incident Db MCP server still maintained?

Ai Incident Db is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Ai Incident Db MCP server under?

Ai Incident Db declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- npm package: https://www.npmjs.com/package/@pipeworx/mcp-ai-incident-db
- Socket report: https://socket.dev/npm/package/@pipeworx/mcp-ai-incident-db
- Repository: https://github.com/pipeworx-io/mcp-ai-incident-db
- Website: https://pipeworx.io/packs/ai-incident-db
- Changelog RSS feed: https://verifymcp.io/servers/pipeworx-io-ai-incident-db/pipeworx-mcp-ai-incident-db.xml
- Changelog JSON feed: https://verifymcp.io/servers/pipeworx-io-ai-incident-db/pipeworx-mcp-ai-incident-db.json
- HTML version of this page: https://verifymcp.io/servers/pipeworx-io-ai-incident-db/pipeworx-mcp-ai-incident-db