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NHTSA Vehicle Safety MCP Server for Mastra AI 13 tools — connect in under 2 minutes

Built by Vinkius GDPR 13 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect NHTSA Vehicle Safety through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "nhtsa-vehicle-safety": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "NHTSA Vehicle Safety Agent",
    instructions:
      "You help users interact with NHTSA Vehicle Safety " +
      "using 13 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with NHTSA Vehicle Safety?"
  );
  console.log(result.text);
}

main();
NHTSA Vehicle Safety
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About NHTSA Vehicle Safety MCP Server

Connect to NHTSA (National Highway Traffic Safety Administration) and access US vehicle safety data through natural conversation — no API key needed.

Mastra's agent abstraction provides a clean separation between LLM logic and NHTSA Vehicle Safety tool infrastructure. Connect 13 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • VIN Decoding — Decode any 17-character VIN to reveal make, model, year, engine, transmission and safety features
  • Recall Search — Search safety recalls by make, model and year or by campaign number
  • Consumer Complaints — Browse vehicle owner complaints filed with NHTSA by make, model or ODI number
  • Safety Ratings — Check NHTSA crash test ratings (overall, frontal, side, rollover)
  • Car Seat Stations — Find certified car seat inspection stations by ZIP code or GPS coordinates

The NHTSA Vehicle Safety MCP Server exposes 13 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect NHTSA Vehicle Safety to Mastra AI via MCP

Follow these steps to integrate the NHTSA Vehicle Safety MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 13 tools from NHTSA Vehicle Safety via MCP

Why Use Mastra AI with the NHTSA Vehicle Safety MCP Server

Mastra AI provides unique advantages when paired with NHTSA Vehicle Safety through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add NHTSA Vehicle Safety without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every NHTSA Vehicle Safety tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

NHTSA Vehicle Safety + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the NHTSA Vehicle Safety MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query NHTSA Vehicle Safety, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed NHTSA Vehicle Safety as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query NHTSA Vehicle Safety on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using NHTSA Vehicle Safety tools alongside other MCP servers

NHTSA Vehicle Safety MCP Tools for Mastra AI (13)

These 13 tools become available when you connect NHTSA Vehicle Safety to Mastra AI via MCP:

01

decode_vin

Returns comprehensive vehicle specifications from the NHTSA database. Decode a Vehicle Identification Number (VIN)

02

get_car_seat_stations_by_location

Returns station name, address, phone, hours and distance. Useful for finding nearby car seat safety checks. Find car seat inspection stations by coordinates

03

get_car_seat_stations_by_zip

Returns station name, address, phone, hours and appointment requirements. Useful for parents needing car seat safety checks. Find car seat inspection stations by ZIP code

04

get_complaint_by_odi

Returns failure description, consequences, remedy, component, mileage and dates. Get complaint details by ODI number

05

get_complaints_by_vehicle

Returns complaints filed by vehicle owners including component, failure description, consequences, mileage at failure and date. At least one parameter recommended. Search consumer complaints by make, model and year

06

get_makes_for_year

Useful for discovering which brands were active in a particular year. Get all manufacturers for a specific model year

07

get_models_for_make

Useful for discovering the full lineup of a brand. Get all models for a specific manufacturer

08

get_models_for_make_year

Useful for discovering what models a brand offered in a particular year. Get models for a manufacturer in a specific year

09

get_recalls_by_campaign

Returns component, summary, consequence, remedy, manufacturer notes, dates and affected vehicle count. Get recall details by campaign number

10

get_recalls_by_vehicle

Returns recall details including campaign number, component affected, summary, remedy, manufacturer, dates and affected vehicle count. At least one parameter (make, model, year) is recommended. Search safety recalls by make, model and year

11

get_safety_rating_by_vehicle_id

Returns overall rating and detailed breakdown by crash type. Get safety rating for a specific vehicle by NHTSA ID

12

get_safety_ratings

Returns overall rating and breakdown by frontal crash, side crash and rollover. If only year provided, returns all vehicles for that year. Add make and model for specific vehicle ratings. Get NHTSA safety ratings for vehicles

13

get_vehicle_types_for_make

g. Passenger Car, Truck, SUV, Motorcycle, Trailer). Useful for discovering what categories a manufacturer produces. Get vehicle types for a specific manufacturer

Example Prompts for NHTSA Vehicle Safety in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with NHTSA Vehicle Safety immediately.

01

"Decode VIN 1HGBH41JXMN109186."

02

"Are there any recalls for a 2023 Ford F-150?"

03

"What's the safety rating for a 2024 Toyota Camry?"

Troubleshooting NHTSA Vehicle Safety MCP Server with Mastra AI

Common issues when connecting NHTSA Vehicle Safety to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

NHTSA Vehicle Safety + Mastra AI FAQ

Common questions about integrating NHTSA Vehicle Safety MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect NHTSA Vehicle Safety to Mastra AI

Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.