Zovo VIN Recall Check
Check recalls by VIN with live public vehicle records and downloadable XLSX and CSV reports.
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
~1,271Token（工具定義）
~6.3 KB典型回應大小
中等的注意力影響（128k 上下文的 0.99%）
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": {
"vehicle-recalls": {
"url": "https://vehicle-recalls.zovo.one/mcp"
}
}
}遠端端點
https://vehicle-recalls.zovo.one/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢check_vin_recalls(vins)
Use this when the user wants a vin decoder, recall check by vin, or batch vin decoder with vehicle recalls and XLSX and CSV reports from public NHTSA data. Up to 50 VINs and 40 source requests per call; campaigns apply to the year, make and model. Do not use for VIN-specific repair status or booking repairs.
輸入結構描述
{
"type": "object",
"properties": {
"vins": {
"type": "array",
"items": {
"type": "string",
"description": "One VIN, e.g. 1HGCV1F35JA000000. Spaces, hyphens and dots are removed before per-item validation."
},
"description": "VIN list to decode and check, e.g. [\"1HGCV1F35JA000000\"]. Up to 50 entries; duplicates are checked once."
}
},
"required": [
"vins"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}輸出結構描述
{
"type": "object",
"properties": {
"summary": {
"type": "object",
"properties": {
"total": {
"type": "number"
},
"decoded": {
"type": "number"
},
"with_recalls": {
"type": "number"
},
"park_it": {
"type": "number"
},
"errors": {
"type": "number"
},
"duplicates": {
"type": "number"
}
},
"required": [
"total",
"decoded",
"with_recalls",
"park_it",
"errors",
"duplicates"
],
"additionalProperties": false
},
"vehicles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"vin": {
"type": "string"
},
"check_digit": {
"type": "string"
},
"decode_status": {
"type": "string"
},
"model_year": {
"type": [
"number",
"null"
]
},
"make": {
"type": "string"
},
"model": {
"type": "string"
},
"trim": {
"type": "string"
},
"recall_models": {
"type": "array",
"items": {
"type": "string"
}
},
"match_type": {
"type": "string"
},
"recall_count": {
"type": "number"
},
"park_it_count": {
"type": "number"
},
"park_outside_count": {
"type": "number"
},
"newest_recall_date": {
"type": "string"
},
"campaigns": {
"type": "array",
"items": {
"type": "string"
}
},
"error": {
"type": "string"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"vin",
"check_digit",
"decode_status",
"model_year",
"make",
"model",
"trim",
"recall_models",
"match_type",
"recall_count",
"park_it_count",
"park_outside_count",
"newest_recall_date",
"campaigns",
"error",
"note"
],
"additionalProperties": false
}
},
"truncated": {
"type": "boolean"
},
"source": {
"type": "string"
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
}
},
"required": [
"summary",
"vehicles",
"truncated",
"source",
"downloads"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢find_recalls_by_vehicle(vehicles)
Use this when the user wants a car recall lookup, vehicle recalls, or fleet recall check by model year, make and model without a VIN, with public NHTSA data and XLSX and CSV reports. Up to 20 vehicles and 40 source requests per call. Do not use for VIN-specific repair status or booking repairs.
輸入結構描述
{
"type": "object",
"properties": {
"vehicles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"model_year": {
"type": "number",
"description": "Whole model year from 1949 to current UTC year plus 2, e.g. 2018."
},
"make": {
"type": "string",
"maxLength": 40,
"description": "Vehicle make as on its title, e.g. the make printed on the registration."
},
"model": {
"type": "string",
"maxLength": 60,
"description": "Vehicle model as on its title, e.g. the model printed on the registration."
}
},
"required": [
"model_year",
"make",
"model"
]
},
"description": "Vehicles to check, e.g. [{\"model_year\":2018,\"make\":\"make from title\",\"model\":\"model from title\"}]. Up to 20 entries."
}
},
"required": [
"vehicles"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}輸出結構描述
{
"type": "object",
"properties": {
"summary": {
"type": "object",
"properties": {
"total": {
"type": "number"
},
"decoded": {
"type": "number"
},
"with_recalls": {
"type": "number"
},
"park_it": {
"type": "number"
},
"errors": {
"type": "number"
},
"duplicates": {
"type": "number"
}
},
"required": [
"total",
"decoded",
"with_recalls",
"park_it",
"errors",
"duplicates"
],
"additionalProperties": false
},
"vehicles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"vin": {
"type": "string"
},
"check_digit": {
"type": "string"
},
"decode_status": {
"type": "string"
},
"model_year": {
"type": [
"number",
"null"
]
},
"make": {
"type": "string"
},
"model": {
"type": "string"
},
"trim": {
"type": "string"
},
"recall_models": {
"type": "array",
"items": {
"type": "string"
}
},
"match_type": {
"type": "string"
},
"recall_count": {
"type": "number"
},
"park_it_count": {
"type": "number"
},
"park_outside_count": {
"type": "number"
},
"newest_recall_date": {
"type": "string"
},
"campaigns": {
"type": "array",
"items": {
"type": "string"
}
},
"error": {
"type": "string"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"vin",
"check_digit",
"decode_status",
"model_year",
"make",
"model",
"trim",
"recall_models",
"match_type",
"recall_count",
"park_it_count",
"park_outside_count",
"newest_recall_date",
"campaigns",
"error",
"note"
],
"additionalProperties": false
}
},
"truncated": {
"type": "boolean"
},
"source": {
"type": "string"
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
}
},
"required": [
"summary",
"vehicles",
"truncated",
"source",
"downloads"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}社群
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