Which vehicles are supported by this MCP server?

This MCP server supports GM vehicles from model year 2015 and newer that are equipped with OnStar connectivity. This includes most Chevrolet, GMC, Buick, and Cadillac models. You can verify compatibility by checking if your vehicle has the OnStar button or the myChevrolet/myGMC/myBuick/myCadillac app support.

Do I need an active OnStar subscription to use this server?

Yes, an active OnStar subscription is required to access the GM Connected Vehicle API. The specific features available depend on your OnStar plan. Remote commands like lock/unlock, remote start, and diagnostics require a plan that includes those capabilities. Check your OnStar plan details at my.chevrolet.com or contact OnStar support for more information.

How are vehicle commands secured?

All vehicle commands are authenticated through the GM Developer Portal OAuth flow. Each command requires a valid access token tied to your GM account. The MCP server does not store credentials; it uses the token provided during setup. Only vehicles linked to your GM account can be controlled, and all commands are logged in the OnStar activity history for audit purposes.

General Motors MCP Server for Pydantic AI 14 tools — connect in under 2 minutes

Name: General Motors
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 14 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect General Motors through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to General Motors "
            "(14 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in General Motors?"
    )
    print(result.data)

asyncio.run(main())

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* 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 General Motors MCP Server

What you can do

Connect AI agents to the General Motors Connected Vehicle API for comprehensive car management:

Pydantic AI validates every General Motors tool response against typed schemas, catching data inconsistencies at build time. Connect 14 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

List registered vehicles to manage fleets or personal garages
Track GPS location to find parked cars or monitor fleet movement
Monitor diagnostics including oil life, battery voltage, and check engine status
Check EV charge levels and estimated range for electric vehicles
Lock and unlock doors remotely for security or guest access
Start and stop engines remotely to pre-condition cabin temperature
Flash lights and sound horn to locate vehicles in crowded areas
Send navigation destinations directly to the infotainment system

The General Motors MCP Server exposes 14 tools through the Vinkius. Connect it to Pydantic 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 General Motors to Pydantic AI via MCP

Follow these steps to integrate the General Motors MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 14 tools from General Motors with type-safe schemas

Why Use Pydantic AI with the General Motors MCP Server

Pydantic AI provides unique advantages when paired with General Motors through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your General Motors integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your General Motors connection logic from agent behavior for testable, maintainable code

General Motors + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the General Motors MCP Server delivers measurable value.

Type-safe data pipelines: query General Motors with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple General Motors tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query General Motors and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock General Motors responses and write comprehensive agent tests

General Motors MCP Tools for Pydantic AI (14)

These 14 tools become available when you connect General Motors to Pydantic AI via MCP:

flash_horn

Requires VIN. Use this to locate a vehicle in a crowded parking lot or driveway. Trigger the horn of a GM vehicle to locate it

flash_lights

Requires VIN. Use this to locate a vehicle in the dark or signal ownership. Flash the headlights and taillights of a GM vehicle

get_charge_status

Requires VIN. Use this to manage EV range anxiety or schedule charging during off-peak hours. Get the charging status and battery level of a GM EV (Bolt, Ultium, etc)

get_fuel_level

Requires VIN. Use this to plan refueling stops or monitor fuel economy. Get the current fuel tank level of a GM vehicle

get_odometer

Requires VIN. Use this to track service intervals, lease mileage limits, or fleet utilization. Get the current mileage (odometer reading) of a GM vehicle

get_tire_pressure

Requires VIN. Use this to identify leaks, ensure safety, or prepare for long trips. Get the current tire pressure readings for all four tires

get_vehicle_diagnostics

Requires VIN. Use this for maintenance scheduling, pre-trip inspections, or health monitoring. Get comprehensive diagnostic data for a GM vehicle

get_vehicle_location

Requires VIN. Use this to find your parked car, track fleet assets, or verify vehicle movement. Get the current GPS location of a specific GM vehicle

get_vehicles

Use this as the first step to identify which VIN to use for commands or diagnostics. List all GM vehicles associated with the account

lock_doors

Requires VIN. Returns command status (success/failed/in-progress). Use this to secure the vehicle after parking or if you forgot to lock it. Lock the doors of a specific GM vehicle remotely

send_turn_by_turn

Requires VIN and a destination object with latitude, longitude, and address. Use this to plan a trip on your phone and have it ready in the car. Send a destination to the vehicle's built-in navigation system

start_vehicle

Requires VIN. Returns command status. Use this to warm up the car in winter or cool it down in summer before entering. Remotely start the engine of a GM vehicle

stop_vehicle

Requires VIN. Returns command status. Use this to cancel a remote start if the vehicle is now in use or if there is a safety concern. Remotely stop the running engine of a GM vehicle

unlock_doors

Requires VIN. Returns command status. Use this to let a passenger in or if keys are locked inside. Unlock the doors of a specific GM vehicle remotely

Example Prompts for General Motors in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with General Motors immediately.

"Start the engine on my Bolt EV and tell me the current battery charge level and estimated driving range."

"Get the current GPS location of my GMC Sierra and flash the lights so I can spot it in the parking lot."

"Send the navigation destination 'Home' to my Cadillac's infotainment system so it's ready when I get in the car."

Troubleshooting General Motors MCP Server with Pydantic AI

Common issues when connecting General Motors to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

General Motors + Pydantic AI FAQ

Common questions about integrating General Motors MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your General Motors MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.