General Motors MCP Server for LlamaIndex 14 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the General Motors MCP Server
LlamaIndex provides unique advantages when paired with General Motors through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine General Motors tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain General Motors tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query General Motors, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine General Motors real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query General Motors to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying General Motors for fresh data
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:
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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting General Motors to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGeneral Motors + LlamaIndex FAQ
Common questions about integrating General Motors MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect General Motors with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
