{
  "specVersion": "1.0",
  "host": {
    "displayName": "TrainTrack",
    "documentationUrl": "https://traintrack.hu/info",
    "logoUrl": "https://traintrack.hu/logo/traintrack.svg"
  },
  "entries": [
    {
      "identifier": "urn:air:traintrack.hu:data:services",
      "displayName": "Observed railway service catalogue",
      "type": "application/json",
      "url": "https://traintrack.hu/data/train-services.json",
      "description": "Historical observed service identities and typical routes, not current running status or ticket availability.",
      "representativeQueries": [
        "Find previously observed Hungarian train services and their typical routes.",
        "Milyen magyar vonatjáratok és jellemző útvonalak szerepelnek a megfigyelt katalógusban?"
      ]
    },
    {
      "identifier": "urn:air:traintrack.hu:api:rest",
      "displayName": "TrainTrack REST API",
      "type": "application/vnd.oai.openapi+json",
      "url": "https://api.traintrack.hu/openapi.json",
      "description": "Authoritative deployed REST contract. Endpoint authentication requirements apply.",
      "representativeQueries": [
        "Where is the TrainTrack REST API documentation and which endpoints require authentication?",
        "Hol találom a TrainTrack vasúti adat API végpontjait és hitelesítési követelményeit?"
      ]
    },
    {
      "identifier": "urn:air:traintrack.hu:discovery:mcp",
      "displayName": "TrainTrack agent connection metadata",
      "type": "application/json",
      "url": "https://traintrack.hu/.well-known/mcp.json",
      "description": "Connection metadata for browser tools and the OAuth-protected remote MCP endpoint. Discover supported remote tools using tools/list after authentication.",
      "representativeQueries": [
        "How can an AI agent connect to TrainTrack through MCP and discover available tools?",
        "Hogyan csatlakozhat egy AI-ügynök a TrainTrack MCP szolgáltatásához OAuth használatával?"
      ]
    }
  ]
}