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Carvector MCP Server

@carvectorio

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

carvectorio

提交者

carvectorio

关于 Carvector MCP Server

Give your AI agent real vehicle data. An MCP server that lets Claude, Cursor, ChatGPT, or any MCP-capable client query the CarVector API natively — vehicle specs, representative images, federal recalls, and OBD-II diagnostic trouble codes.

#dtc#vehicle-data#obd-ii#recalls#ai-tools#model-context-protocol#mcp-server#automotive-api

Carvector MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "carvector": {
      "command": "npx",
      "args": [
        "-y",
        "carvector-mcp"
      ],
      "env": {
        "CARVECTOR_API_KEY": "cv_your_key"
      }
    }
  }
}

Carvector MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Carvector?

Carvector is an MCP server that lets AI agents like Claude, Cursor, or ChatGPT query the CarVector API natively for vehicle specs, representative images, federal recalls, and OBD-II diagnostic trouble codes. It provides structured, sourced answers instead of model hallucinations.

How to use Carvector?

Install via npx -y carvector-mcp --key cv_your_key or configure an mcpServers block with the CARVECTOR_API_KEY environment variable. For remote HTTP MCP, point to https://api.carvector.io/v1/mcp with a Bearer token. Restart your client and ask about a vehicle.

Key features of Carvector

  • Search vehicles by year, make, model with IDs and specs
  • Get full specs for one vehicle — engine, drivetrain, body, image, recall count
  • Return federal recall campaigns — component, summary, consequence, remedy
  • Look up OBD-II codes with title, category, severity, safety/emissions flags
  • Agent chains search_vehicles → get_vehicle / get_recalls naturally
  • Zero telemetry, analytics, or phone-home; writes nothing to disk

Use cases of Carvector

  • A service-advisor copilot that pulls exact trim, open recalls, and a decoded check-engine code in one turn
  • A consumer car chatbot answering "what engine does my truck have" and "is it under recall" with real data
  • A coding/automotive agent needing structured vehicle knowledge as a tool instead of scraped text

常见问题

1

What data does Carvector include?

Vehicles (1925–2029, by trim and engine variant with representative illustrations), federal recall campaigns, and OBD-II DTC reference (category, severity, safety/emissions flags). It does not include repair-cost economics.

2

How is my API key handled?

The key stays on your machine. Set it via the `CARVECTOR_API_KEY` env var (preferred) or the `--key` CLI argument. The client sends it only as a Bearer header to `api.carvector.io` and has no telemetry.

3

What are the runtime dependencies?

Exactly one package: the official `@modelcontextprotocol/sdk`. The client is ~150 lines of readable JavaScript.

4

Is there a free tier?

Yes — 100 requests/day at carvector.io with no credit card required. Calls count against your plan’s rate limit and appear in your dashboard.

5

Can I use Carvector without installing?

Yes — if your client supports HTTP MCP, point it at `https://api.carvector.io/v1/mcp` with an Authorization header. No local install needed.

评论

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