Wenmar Open
Free VIN decoder and vehicle catalog from NHTSA vPIC data. Read-only, no key.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
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": {
"wenmar-open": {
"url": "https://open.wenmarpro.com/mcp"
}
}
}遠端端點
https://open.wenmarpro.com/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢wenmar_vin(action, vin, vins, year)
Decode vehicle identification numbers into year, make, model, trim, engine, drivetrain, safety equipment and the matching catalog entry. action=decode takes `vin` (and optionally `year` to override the model year). action=batch takes `vins`, at most 50, and returns one result per VIN in order. A wrong check digit is not an error: the result has valid=false and a warning.
輸入結構描述
{
"type": "object",
"properties": {
"action": {
"enum": [
"decode",
"batch"
],
"type": "string"
},
"vin": {
"description": "A 17-character VIN. Spaces and dashes are ignored.",
"type": "string"
},
"vins": {
"items": {
"type": "string"
},
"maxItems": 50,
"type": "array"
},
"year": {
"description": "Model year to use instead of the one worked out from the VIN.",
"type": "integer"
}
},
"required": [
"action"
]
}🟢wenmar_vehicles(action, id, limit, make, model, ...)
Look up vehicles by year, make, model, submodel and engine. Actions: years; makes (optional `year`); models (`make`, optional `year`); submodels (`make`, `model`, `year`); engines (`make`, `model`, `year`, optional `submodel`); search (`query`, such as "2019 civic si" or "chevy 1500"); entry (`id`, such as "2019_honda_civic_si"). `make` and `model` take a name, an alias or an id. `term` narrows a list to names starting with it. `scope` is light (cars, MPVs and trucks; the default), all, or a vPIC vehicle type id.
輸入結構描述
{
"type": "object",
"properties": {
"action": {
"enum": [
"years",
"makes",
"models",
"submodels",
"engines",
"search",
"entry"
],
"type": "string"
},
"id": {
"type": "string"
},
"limit": {
"type": "integer"
},
"make": {
"type": "string"
},
"model": {
"type": "string"
},
"query": {
"type": "string"
},
"scope": {
"type": "string"
},
"submodel": {
"type": "string"
},
"term": {
"type": "string"
},
"year": {
"type": "integer"
}
},
"required": [
"action"
]
}社群
證據