list_taxonomies

Pack: ai-incident-db · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/list_taxonomies for the schema, then POST the same URL with its arguments for the data.

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

Example call

Arguments

{}

curl

curl -X POST https://gateway.pipeworx.io/ai-incident-db/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_taxonomies","arguments":{}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('list_taxonomies', {});

Response shape

{
  "type": "object",
  "properties": {
    "taxas": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "namespace": {
            "type": "string",
            "description": "Taxonomy namespace (e.g., CSET-AIID, GMF, RAIC)"
          },
          "description": {
            "type": "string",
            "description": "Taxonomy description"
          },
          "weight": {
            "type": "number",
            "description": "Taxonomy weight or priority"
          }
        }
      },
      "description": "Available taxonomies for incident classification"
    }
  }
}

Connect

Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

{
  "mcpServers": {
    "ai-incident-db": {
      "url": "https://gateway.pipeworx.io/ai-incident-db/mcp"
    }
  }
}

See Getting Started for client-specific install steps.