How to Use the DOT Transportation / 美国交通部 MCP in Mastra AI

Build automated vehicle compliance workflows with Mastra AI and the DOT Transportation / 美国交通部 MCP Server.

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Connect DOT Transportation / 美国交通部 MCP to Mastra AI

Create your Vinkius account to connect DOT Transportation / 美国交通部 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 DOT Transportation / 美国交通部 with Mastra AI

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Claude

Perplexity

Automated recall checks in complex workflows

Chain `get_safety_recalls` into your agent logic to automatically block transactions for recalled vehicles. If the tool finds a hit, your workflow can branch to a human-in-the-loop approval step. This keeps your operations moving while ensuring you never miss a federal safety flag. The agent handles the retry logic if the network blips.

Batch processing with manufacturer data

Use `list_all_makes` and `get_manufacturer_info` to populate your agent's knowledge base before it starts evaluating a fleet. This lets your workflow act on specific manufacturer details without hardcoding values. Your Mastra AI agent can iterate through these lists during its planning phase. It ensures every vehicle in your pipeline is accounted for.

Deep vehicle audits via complaint analysis

Run `get_vehicle_complaints` as part of a pre-acquisition agent task to gauge model reliability. Your agent can compare these public complaints against the safety ratings from `get_vehicle_safety_ratings`. This gives your workflow a way to assess risk before moving to the next stage. It adds a layer of data-backed reasoning to your automated processes.

Setup guide

Set up DOT Transportation / 美国交通部 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 DOT Transportation / 美国交通部 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: "dot-transportation-mcp-client",
  servers: {
    "dot-transportation-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "DOT Transportation / 美国交通部 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to DOT Transportation / 美国交通部 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent DOT Transportation / 美国交通部 transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DOT Transportation / 美国交通部. 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 DOT Transportation / 美国交通部 MCP in Mastra AI

Add the server URL to your Mastra MCP client configuration. Once registered, your agents can call any of the eight tools in their task definitions.

Absolutely. You can define a workflow where one agent decodes the VIN and the next agent checks for complaints, all using the same MCP connection.

Yes. You can configure the retry policy in your agent's tool definitions. This ensures temporary failures don't break your entire pipeline.

The server uses isolated environments for every request. Your data remains separated from other users on the platform.

No personal owner data is stored. The server only processes VINs to return public recall and complaint records from the DOT Transportation / 美国交通部 database.

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