How to Use the CarAPI MCP in Mastra AI

Q: How do I integrate CarAPI into my Mastra AI agent workflow?

Include the server URL in your MCPClient configuration. Once added, you spread the available tools into your agent definition.

Q: Does CarAPI support filtering by transmission in Mastra AI?

It does, by using the gettransmissions tool to identify valid types before querying the vehicle database. Your agent uses these values to filter the primary search.

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Connect CarAPI MCP to Mastra AI

Create your Vinkius account to connect CarAPI to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CarAPI with Mastra AI

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Automated research agents for Mastra AI

You define agents that query `get_makes` and `get_models` to build a database of vehicle history. Mastra AI handles the workflow logic while the server provides the raw data. If a network request drops, the workflow engine triggers a retry automatically. Your agents stay focused on the task instead of worrying about connection stability.

Conditional automotive data extraction

Configure your agents to check `get_vehicles` based on specific criteria like fuel type or transmission. You write the logic to branch your workflow if the search returns zero results. This setup allows for complex multi-step data collection. You define the rules and the tools execute them in sequence.

Secure tool approval in Mastra AI

Enable `requireToolApproval` to verify every query sent to the server. You review the arguments for `get_vehicles` before the agent executes the search. This adds a human-in-the-loop layer to your autonomous processes. You maintain control over which specific vehicle data the agent accesses.

Setup guide

Set up CarAPI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All CarAPI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "carapi-mcp-client",
  servers: {
    "carapi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CarAPI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CarAPI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CarAPI transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CarAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CarAPI MCP in Mastra AI

Include the server URL in your `MCPClient` configuration. Once added, you spread the available tools into your agent definition.

Yes, you configure the workflow engine to handle retries with backoff. This ensures your data collection remains consistent even during temporary network fluctuations.

It does, by using the `get_transmissions` tool to identify valid types before querying the vehicle database. Your agent uses these values to filter the primary search.

Deploy your code to your cloud provider of choice as a standard Node.js application. The MCP connection persists through your deployment environment.

Your queries stay within your private execution environment. We keep no logs of specific vehicle searches or your internal workflow logic.

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