Tesla Fleet API MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Tesla Fleet API as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="tesla_fleet_api_agent",
instruction=(
"You help users interact with Tesla Fleet API "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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 Tesla Fleet API MCP Server
What you can do
Take absolute proxy command over physically hosted Tesla vehicle hardware limits checking telemetries gracefully inside the Fleet Operator logic:
Google ADK natively supports Tesla Fleet API as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- Track Hardware Executions natively reading deep telemetry pulling explicitly GPS, Battery SoC, and Tire Pressures
- Execute Physical Relays actuating explicitly hardware limits bounding specific locks and interior HVAC bounds
- Wake Sleeping Vehicles directly triggering native relays catching cars in idle execution states parsing cleanly
- Manage Fleet Commands bounding honk and headlight mechanisms resolving completely natively safe locating structures
⚠️ CRITICAL WARNING: VEHICLE SLEEP STATE (HTTP 408)
To conserve the high-voltage battery limits, Tesla vehicles physically sever their continuous network proxy when parked. If you execute a read (like get_vehicle_data) or a mechanical command (like control_doors) while the car is sleeping, the API will natively return HTTP 408 Timeout.
The AI Agent MUST ALWAYS first invoke wake_up_vehicle, wait 10-15 seconds, and ONLY THEN route explicit subsequent logic telemetry proxies securely natively!
The Tesla Fleet API MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK 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 Tesla Fleet API to Google ADK via MCP
Follow these steps to integrate the Tesla Fleet API MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from Tesla Fleet API via MCP
Why Use Google ADK with the Tesla Fleet API MCP Server
Google ADK provides unique advantages when paired with Tesla Fleet API through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Tesla Fleet API
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Tesla Fleet API tools with BigQuery, Vertex AI, and Cloud Functions
Tesla Fleet API + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Tesla Fleet API MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Tesla Fleet API and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Tesla Fleet API tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Tesla Fleet API regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Tesla Fleet API
Tesla Fleet API MCP Tools for Google ADK (8)
These 8 tools become available when you connect Tesla Fleet API to Google ADK via MCP:
tesla_control_charge_port
Call wake_up securely first executing correctly. Engage explicitly the charging port relay actively isolating the power array bounds smoothly
tesla_control_doors
Wake up first safely implicitly executing physical relays. Actuate literal physical lock parameters securing or bounding native access inside the vehicle reliably
tesla_flash_lights
Use tesla_wake_up_vehicle first resolving safely. Trigger physical external headlight flash mechanisms securely bounding locating target implicitly
tesla_get_vehicle_data
You MUST use tesla_wake_up_vehicle FIRST and wait before polling. Extracts master telemetry matrices fetching explicitly SoC battery, Odometer, exact GPS coordinates, and vehicle internal temperatures
tesla_honk_horn
Use tesla_wake_up_vehicle first bounding cleanly safely executing. Actuate the physical hardware horn mechanism remotely triggering a loud alert locating the fleet proxy actively
tesla_list_vehicles
Dumps explicit physical vehicle structs enumerating the exact active fleet array native list
tesla_trigger_climate
Trigger explicit wake_up first parsing. Engage explicitly the internal auto-conditioning climate system cleanly resolving temperature states before arrival
tesla_wake_up_vehicle
Wait 10 seconds explicitly after calling this. CRITICAL FIRST STEP: Trigger Explicit ignition matrices asserting the physical vehicle wakes from idle sleep states bounding actively over SaaS proxies
Example Prompts for Tesla Fleet API in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Tesla Fleet API immediately.
"Check active fleet execution tracking natively extracting explicitly the battery SoC of vehicle XYZ safely resolving sleep delays initially."
"Actuate physical lock boundaries explicitly mapping the endpoints locking the doors inherently securely natively targeting 'car-aabbcc' dynamically."
"Sound the explicit vehicle horn targeting proxy array bounds locating physical target effectively resolving native bounds gracefully mapping targets."
Troubleshooting Tesla Fleet API MCP Server with Google ADK
Common issues when connecting Tesla Fleet API to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTesla Fleet API + Google ADK FAQ
Common questions about integrating Tesla Fleet API MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Tesla Fleet API to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.