Car2db Api V3 MCP
C

Car2db Api V3 MCP

The Car2DB MCP Server is an automotive database interface service based on the Model Context Protocol, which allows LLM agents to directly access detailed specification data of cars, motorcycles, and trucks, and supports natural language search and multi - language queries.
2 points
4.9K

What is Car2DB MCP Server?

Car2DB MCP Server is a bridge connecting AI assistants with the automotive database. It allows you to query detailed technical specifications, configuration options, and performance parameters of global vehicles through natural language conversations. Whether you're comparing different models or looking for detailed information on specific configurations, this tool can provide you with accurate data support.

How to use Car2DB MCP Server?

It's very easy to use: First, obtain an API key, then configure the server in your preferred AI tool (such as Claude Desktop, Cursor, or GitHub Copilot). After configuration, you can directly query automotive information through conversations without manually searching the database or technical documents.

Applicable scenarios

Suitable for scenarios such as automotive research, car - buying decisions, technical comparisons, and content creation. Whether you're an automotive enthusiast, a professional journalist, a salesperson, or an ordinary consumer, you can quickly obtain accurate automotive technical information through this tool.

Main features

Complete automotive database
Covers detailed technical specifications of cars, motorcycles, and trucks, including engine parameters, dimensions, weight, performance data, etc.
Intelligent search
Supports natural language search. You can find vehicle information in the way of daily conversations.
Multi - language support
Supports 11 languages, including Chinese, English, German, French, Spanish, etc.
Rich data content
Provides comprehensive information such as technical specifications, equipment packages, and detailed features.
Dual connection methods
Supports local connection (Claude Desktop/Cursor) and remote access (SSE mode).
Docker containerization
Provides production - ready Docker containers for easy deployment and management.
Advantages
Accurate and comprehensive data: Based on the professional Car2DB database, the information is accurate and reliable.
Convenient to use: Query through direct conversations with AI assistants without learning complex query languages.
Real - time update: The database is updated regularly to ensure the timeliness of information.
Multi - platform support: Compatible with various AI tools such as Claude Desktop, Cursor, and VSCode.
Flexible deployment: Supports both local and remote usage methods.
Limitations
Requires an API key: You need to apply for an API key before use.
Network dependency: A stable network connection is required to access the database.
Language limitation: Although it supports multiple languages, the translation of some languages may not be perfect.
Data scope: Mainly covers mainstream automotive brands and models, and information on niche models may be limited.

How to use

Obtain an API key
Visit the Car2DB official website to register and obtain an API key. You can get it from the following links: - Official API key: https://car2db.com/api/ - Demo key: https://car2db.com/api-token-demo/
Select the installation method
Choose the most suitable installation method according to your needs: 1. MCPB package (one - click installation): Download the.mcpb file and install it directly. 2. npx (no installation required): Use the npx command to run temporarily. 3. Global installation: Install globally via npm. 4. Docker container: Deploy using Docker.
Configure the AI tool
Configure according to the AI tool you use: - Claude Desktop: Edit the claude_desktop_config.json file. - GitHub Copilot: Create a.vscode/mcp.json configuration file.
Set environment variables
Configure the necessary environment variables: - CAR2DB_API_KEY: Your API key - CAR2DB_REFERER: Your project website - CAR2DB_LANGUAGE: Preferred language (e.g., zh - CN)
Start using
Start your AI tool and start querying automotive information through conversations.

Usage examples

Query specific vehicle specifications
When you need to know the specific technical parameters of a vehicle, you can use this function.
Compare different vehicle models
When making car - buying decisions or conducting research, compare the configuration differences between different vehicle models.
Search for vehicle models by year
Find vehicle models released or updated in a specific year.
Browse the automotive brand catalog
Explore all vehicle models of a certain automotive brand.

Frequently Asked Questions

Do I need to pay to use it?
Which AI tools are supported?
How often is the data updated?
How to set the Chinese interface?
What is the Referer header? Why do I need to set it?
Is offline use supported?

Related resources

GitHub repository
Source code and the latest version
npm package page
npm package information and installation instructions
Car2DB API documentation
Complete API interface documentation
API key application
Apply for an official API key
Demo key
Get a free demo key
MCP protocol official website
Official documentation of the Model Context Protocol
Technical support
Telegram technical support bot

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "car2db": {
      "command": "npx",
      "args": ["-y", "@car2db/mcp-server"],
      "env": {
        "CAR2DB_API_KEY": "your_api_key_here",
        "CAR2DB_REFERER": "https://yourproject.com",
        "CAR2DB_LANGUAGE": "en-US"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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