Hotel Fact Graph
Dated, cited hotel facts from hotels' own sites and official registers, Portugal and Spain.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~272Token(工具定義)
~495 B典型回應大小
極小的注意力影響(128k 上下文的 0.21%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"hotel-fact-graph": {
"url": "https://hotels.isitabizday.com/mcp"
}
}
}遠端端點
https://hotels.isitabizday.com/mcpstreamable-http它能做什麼
工具清單
工具(3)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢search_hotels(query, region, limit)
Find hotels by name, town, domain or register id (Algarve, Lisbon coast, Costa de la Luz). Use the property_id with get_hotel_facts. Facts are cited. precision is null.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Hotel name, municipality, domain or id (2-80 chars)"
},
"region": {
"type": "string"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢get_hotel_facts(property_id, domain)
Latest cited facts for one hotel (own website or official register). Prefer property_id. A chain domain returns the property list instead of mixing hotels. Each fact has as_of, source_url, evidence.
輸入結構描述
{
"type": "object",
"properties": {
"property_id": {
"type": "string"
},
"domain": {
"type": "string"
}
},
"additionalProperties": false
}🟢get_fact_changes(property_id, domain)
Observed value differences across captures for one hotel. Not confirmed policy changes. Same identifiers as get_hotel_facts.
輸入結構描述
{
"type": "object",
"properties": {
"property_id": {
"type": "string"
},
"domain": {
"type": "string"
}
},
"additionalProperties": false
}社群
證據
近期觀測
已驗證未記錄版本3 個工具