How to Use the NHTSA Vehicle Safety MCP in Mastra AI

Build reliable fleet compliance workflows with Mastra AI and the NHTSA Vehicle Safety MCP server.

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Connect NHTSA Vehicle Safety MCP to Mastra AI

Create your Vinkius account to connect NHTSA Vehicle Safety 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 NHTSA Vehicle Safety with Mastra AI

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Automated recall monitoring in Mastra AI

Create a workflow that checks your entire fleet for new issues. The `get_recalls_by_vehicle` tool identifies affected units so your agents can flag them for maintenance. If the tool hits a rate limit, the framework handles the retry automatically. You maintain a clean log of every safety campaign found.

Validate safety ratings with Mastra AI

Run batch checks on your vehicle lineup using `get_safety_ratings`. Your agents compare these results against your internal safety standards. Branch your workflow based on the output. If a vehicle score falls below your threshold, the system alerts your team immediately.

Manage inspection station discovery

Trigger a search for car seat stations using `get_car_seat_stations_by_location` when a driver reports a new vehicle assignment. Your agent provides the closest address and contact details. This workflow ensures your fleet remains compliant with local safety policies. It removes the manual effort of searching for inspection centers.

Setup guide

Set up NHTSA Vehicle Safety 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 NHTSA Vehicle Safety 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: "nhtsa-vehicle-safety-mcp-client",
  servers: {
    "nhtsa-vehicle-safety-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about NHTSA Vehicle Safety MCP in Mastra AI

Import the MCP client and register the tools in your agent definition. You can then call them as part of your standard workflow tasks.

Yes. You can configure retry logic for every tool call. If the API hits a snag, your agent will attempt the request again.

It is ideal for this use case. The tools provide structured data that your agents can parse into reports without human oversight.

Yes. Use the framework's tool approval settings. You can review safety data before the agent proceeds with any fleet action.

The server only touches vehicle-specific data like VINs and recall status. No PII is transmitted or stored during these operations.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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