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

Built by Vinkius GDPR 14 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add General Motors as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to General Motors. "
            "You have 14 tools available."
        ),
    )

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

asyncio.run(main())
General Motors
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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 General Motors MCP Server

What you can do

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

LlamaIndex agents combine General Motors tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • 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 LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 14 tools from General Motors

Why Use LlamaIndex with the General Motors MCP Server

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

01

Data-first architecture: LlamaIndex agents combine General Motors tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain General Motors tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query General Motors, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what General Motors tools were called, what data was returned, and how it influenced the final answer

General Motors + LlamaIndex Use Cases

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

01

Hybrid search: combine General Motors real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query General Motors to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying General Motors for fresh data

04

Analytical workflows: chain General Motors queries with LlamaIndex's data connectors to build multi-source analytical reports

General Motors MCP Tools for LlamaIndex (14)

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

01

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

02

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

03

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)

04

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

05

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

06

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

07

get_vehicle_diagnostics

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

08

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

09

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

10

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

11

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

12

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

13

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

14

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 LlamaIndex

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

01

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

02

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

03

"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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

General Motors + LlamaIndex FAQ

Common questions about integrating General Motors MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query General Motors tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect General Motors to LlamaIndex

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.