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Carvector MCP Server

@carvectorio

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

carvectorio

投稿者

carvectorio

Carvector MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Carvector MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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

よくある質問

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.

コメント

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