Zovo VIN Recall Check
Check recalls by VIN with live public vehicle records and downloadable XLSX and CSV reports.
我该使用它吗
质量与安全性
A
基于对工具定义和协议合规性的自动分析。
上下文开销
~1,271token 数（工具定义）
~6.3 KB典型响应大小
对注意力有中等影响（占 128k 上下文窗口的 0.99%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"vehicle-recalls": {
"url": "https://vehicle-recalls.zovo.one/mcp"
}
}
}远程端点
https://vehicle-recalls.zovo.one/mcpstreamable-http它能做什么
工具清单
工具（2）
🟢 只读🟡 写入🔴 删除⚪ 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.
输入模式
{
"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"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}输出模式
{
"type": "object",
"properties": {
"summary": {
"type": "object",
"properties": {
"total": {
"type": "number"
},
"decoded": {
"type": "number"
},
"with_recalls": {
"type": "number"
},
"park_it": {
"type": "number"
},
"errors": {
"type": "number"
},
"duplicates": {
"type": "number"
}
},
"required": [
"total",
"decoded",
"with_recalls",
"park_it",
"errors",
"duplicates"
],
"additionalProperties": false
},
"vehicles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"vin": {
"type": "string"
},
"check_digit": {
"type": "string"
},
"decode_status": {
"type": "string"
},
"model_year": {
"type": [
"number",
"null"
]
},
"make": {
"type": "string"
},
"model": {
"type": "string"
},
"trim": {
"type": "string"
},
"recall_models": {
"type": "array",
"items": {
"type": "string"
}
},
"match_type": {
"type": "string"
},
"recall_count": {
"type": "number"
},
"park_it_count": {
"type": "number"
},
"park_outside_count": {
"type": "number"
},
"newest_recall_date": {
"type": "string"
},
"campaigns": {
"type": "array",
"items": {
"type": "string"
}
},
"error": {
"type": "string"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"vin",
"check_digit",
"decode_status",
"model_year",
"make",
"model",
"trim",
"recall_models",
"match_type",
"recall_count",
"park_it_count",
"park_outside_count",
"newest_recall_date",
"campaigns",
"error",
"note"
],
"additionalProperties": false
}
},
"truncated": {
"type": "boolean"
},
"source": {
"type": "string"
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
}
},
"required": [
"summary",
"vehicles",
"truncated",
"source",
"downloads"
],
"$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.
输入模式
{
"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"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}输出模式
{
"type": "object",
"properties": {
"summary": {
"type": "object",
"properties": {
"total": {
"type": "number"
},
"decoded": {
"type": "number"
},
"with_recalls": {
"type": "number"
},
"park_it": {
"type": "number"
},
"errors": {
"type": "number"
},
"duplicates": {
"type": "number"
}
},
"required": [
"total",
"decoded",
"with_recalls",
"park_it",
"errors",
"duplicates"
],
"additionalProperties": false
},
"vehicles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"vin": {
"type": "string"
},
"check_digit": {
"type": "string"
},
"decode_status": {
"type": "string"
},
"model_year": {
"type": [
"number",
"null"
]
},
"make": {
"type": "string"
},
"model": {
"type": "string"
},
"trim": {
"type": "string"
},
"recall_models": {
"type": "array",
"items": {
"type": "string"
}
},
"match_type": {
"type": "string"
},
"recall_count": {
"type": "number"
},
"park_it_count": {
"type": "number"
},
"park_outside_count": {
"type": "number"
},
"newest_recall_date": {
"type": "string"
},
"campaigns": {
"type": "array",
"items": {
"type": "string"
}
},
"error": {
"type": "string"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"vin",
"check_digit",
"decode_status",
"model_year",
"make",
"model",
"trim",
"recall_models",
"match_type",
"recall_count",
"park_it_count",
"park_outside_count",
"newest_recall_date",
"campaigns",
"error",
"note"
],
"additionalProperties": false
}
},
"truncated": {
"type": "boolean"
},
"source": {
"type": "string"
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
}
},
"required": [
"summary",
"vehicles",
"truncated",
"source",
"downloads"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}社区
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