Tesla Fleet API MCP. Command and track physical vehicles remotely.
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Tesla Fleet API connects your agent directly to physical Tesla vehicles. Use it to read real-time telemetry—GPS coordinates, battery SoC, and internal temperatures.
You can also send commands like honking the horn, flashing lights, or locking doors on entire vehicle fleets.
What your AI agents can do
Tesla control charge port
Activates the charging port relay after first waking up the car.
Tesla control doors
Locks or unlocks the physical doors of the vehicle after it's awake.
Tesla flash lights
Triggers a visible flash of the external headlights after waking up the car.
Retrieves the current SoC battery percentage, odometer reading, precise GPS coordinates, and internal temperature readings for a vehicle.
Sends physical commands to lock or unlock the car doors using relays.
Engages the internal HVAC system, allowing you to pre-condition the cabin temperature before arrival.
Wakes a vehicle from an idle or sleeping state, preparing it for active commands.
Sends immediate physical signals to activate the headlights (flash) or sound the horn.
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Supported MCP Clients
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Tesla Fleet API: 8 Tools for Remote Control
Use these eight tools to manage vehicle status—from checking battery levels via `tesla_get_vehicle_data` to actuating physical relays with `tesla_control_doors`.
019d7611tesla control charge port
Activates the charging port relay after first waking up the car.
019d7611tesla control doors
Locks or unlocks the physical doors of the vehicle after it's awake.
019d7611tesla flash lights
Triggers a visible flash of the external headlights after waking up the car.
019d7611tesla get vehicle data
Pulls core telemetry, including SoC battery level, odometer reading, GPS coordinates, and internal temperatures.
019d7611tesla honk horn
Sends a physical signal to make the vehicle horn sound after waking up the car.
019d7611tesla list vehicles
Retrieves a list of all physical vehicles currently managed by the fleet.
019d7611tesla trigger climate
Engages the internal auto-conditioning system to set the cabin temperature before arrival.
019d7611tesla wake up vehicle
Wakes a vehicle from sleep, which is required as the first step for any other command or read operation.
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What you can do with this MCP connector
This API connects your agent straight to physical Tesla hardware. You get proxy command over actual vehicles—it's deep access, see? The whole system runs on understanding vehicle states, so you gotta know the rules.
The first thing you gotta do with this setup is tesla_wake_up_vehicle. Any action or data pull requires the car to be awake; that function wakes it from sleep and gets it ready for commands. After that initial wake-up sequence, you can use your agent to retrieve core telemetry details: tesla_get_vehicle_data pulls the current SoC battery percentage, odometer reading, precise GPS coordinates, and internal temperature readings.
You also wanna know which cars are out there? Use tesla_list_vehicles; it gives you a roster of every physical car managed by the fleet. Pulling this list helps scope what your agent can actually control.
When you're prepping for arrival, you ain't just checking GPS coordinates; you're making the ride better. You can use tesla_trigger_climate to engage the internal HVAC system, setting the cabin temperature before anyone even steps inside.
For charging logistics, run tesla_control_charge_port. This activates the charging port relay once the car is awake and ready for a charge cycle. You'll want this function when you know power is needed.
If you need to mess with the physical state of the vehicle, you can send out commands that lock or unlock the doors using tesla_control_doors. You also control emergency signals: tesla_honk_horn makes the horn sound, and tesla_flash_lights triggers a visible flash from the headlights.
Remember, every command—whether it's locking the car, sounding the horn, or reading telemetry data—must follow the mandatory wake-up sequence. It’s simple: run tesla_wake_up_vehicle, wait for confirmation, and then fire off any other control function like door actuation or light flashing.
How Tesla Fleet API MCP Works
- 1 First, your agent must call
tesla_wake_up_vehicleand wait 10–15 seconds for the connection to re-establish. - 2 Next, you can run specific tools like
tesla_get_vehicle_dataortesla_control_doorsknowing the network is active. - 3 The system returns the requested data (e.g., GPS coordinates) or confirms the action was executed on the physical hardware.
The bottom line is, you use this to send commands and pull live sensor data from Tesla vehicles while respecting their mandatory sleep-state wake sequence.
Who Is Tesla Fleet API MCP For?
This API is for logistics managers and fleet operations engineers who hate having to physically drive to a car just to check its battery or lock status. You're the person who needs to know where 30 cars are right now, what their SoC is, and if they need AC turned on before the shift starts.
Manages hundreds of vehicles by using tesla_list_vehicles to enumerate assets and then running tesla_get_vehicle_data for real-time SoC reports.
Directs drivers to a specific location or prepares the vehicle remotely by using tesla_trigger_climate before they even arrive at the site.
Performs remote diagnostics, checking battery levels and confirming hardware status by running data retrieval tools like tesla_get_vehicle_data.
What Changes When You Connect
- Check vehicle status instantly. Instead of driving out to check the battery, use
tesla_get_vehicle_datato pull SoC, GPS coordinates, and temperature from your agent's chat window. - Pre-condition the cabin on arrival. Use
tesla_trigger_climateto set the desired temperature remotely, saving time and energy for occupants. - Manage access control without being there. Run
tesla_control_doorsto confirm if the vehicle is locked or unlocked before dispatching personnel. - Handle emergency signaling. Need a car to stop? Use
tesla_honk_hornafter waking it up, making sure your agent follows the critical wake-up sequence first. - Audit your entire fleet state. Run
tesla_list_vehiclesand then loop through the results usingtesla_get_vehicle_datato build a full operational report.
Real-World Use Cases
Pre-arrival staging
The facility manager needs an employee car ready for a meeting. They ask their agent to run tesla_wake_up_vehicle, wait 15 seconds, and then execute tesla_trigger_climate to set the cabin to 72°F. The agent confirms the climate system is engaged.
Damage assessment
A fleet engineer suspects tampering. They run tesla_get_vehicle_data to check for unusual battery drops and then use tesla_control_doors to verify if the doors were manually opened or locked.
Emergency location ping
A vehicle is overdue. The dispatcher tells their agent to run tesla_wake_up_vehicle immediately, then use tesla_get_vehicle_data. The agent reports the last known GPS coordinates, allowing immediate dispatch.
Remote deterrent
Security personnel need to deter unauthorized access. They invoke tesla_wake_up_vehicle and then use a combination of tesla_flash_lights and tesla_honk_horn, making the car visible and audible.
The Tradeoffs
Checking data on a sleeping car
The agent runs get_vehicle_data immediately, assuming it works. The result is an HTTP 408 Timeout error, and the user gets no useful information.
→
Always remember the sleep state warning. First, run tesla_wake_up_vehicle. Wait a full 15 seconds. Then run your data check with tesla_get_vehicle_data.
Sending multiple commands at once
The user tries to run control_doors, trigger_climate, and honk_horn concurrently. The system fails because the vehicle hasn't been initialized.
→
Execute the sequence: 1. Call tesla_wake_up_vehicle. Wait. 2. Run the first command (e.g., tesla_control_doors). Wait. 3. Run the next command.
Ignoring available tools
The user only checks SoC but ignores temperature readings, missing a potential thermal issue.
→
When running tesla_get_vehicle_data, check all returned metrics—SoC, GPS, and internal temperatures. Don't just look at the battery.
When It Fits, When It Doesn't
Use this API if your workflow requires physical interaction with parked Tesla hardware. You need to know where a vehicle is, what its battery level is, or you need to physically change its state (lock/unlock, climate).
Don't use it if you only need historical data analysis (use a dedicated logging service) or if you are working with non-Tesla vehicles—this API is specific. If your goal is simply scheduling maintenance reports without checking live status, this isn't needed; just query your existing CMMS system.
If you need to know the car's state and then take action (e.g., check SoC, then turn on AC), use tesla_get_vehicle_data followed by tesla_trigger_climate. Always remember that any read or write operation requires the explicit wake cycle using tesla_wake_up_vehicle first.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tesla Fleet. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking a vehicle's status shouldn't require leaving your desk and driving out to the lot.
Today, if you need to know the battery level of an asset or confirm it's locked up, someone has to physically go there. They check the dashboard, they walk around—it costs time, fuel, and labor just for a simple status report.
With this MCP server, your agent pulls all that data straight into the chat. You run `tesla_get_vehicle_data` and instantly get SoC, GPS coordinates, and temperature without moving anything. It's pure telemetry access.
Using tesla_wake_up_vehicle: Control car status from your workflow.
Before this API, any remote action was guesswork or required a complex, multi-stage manual setup to even establish a connection. You were always waiting for the right time and network window.
Now, you just tell the agent to call `tesla_wake_up_vehicle`. The process handles the critical wake sequence, letting your subsequent commands like `tesla_control_doors` or `tesla_flash_lights` execute reliably.
Common Questions About Tesla Fleet API MCP
How do I check battery SoC using tesla_get_vehicle_data? +
Run tesla_wake_up_vehicle first, wait 15 seconds, and then call tesla_get_vehicle_data. The returned JSON will contain the current Battery SoC percentage.
Can I lock or unlock doors using tesla_control_doors? +
Yes. You must run tesla_wake_up_vehicle first, wait 15 seconds, and then invoke tesla_control_doors to send the physical lock/unlock signal.
Does tesla_list_vehicles show me active GPS coordinates? +
No. tesla_list_vehicles only returns a list of vehicle identifiers. You must then run tesla_get_vehicle_data for each ID to retrieve the specific, real-time GPS coordinates.
What if I run tesla_honk_horn without waking up the car? +
The command will fail because of the vehicle's sleep state. You must always execute tesla_wake_up_vehicle first, wait 15 seconds, and then call tesla_honk_horn.
What is the proper process and required token structure when calling `tesla_get_vehicle_data`? +
You must use a valid B2B API key (TESLA_FLEET_TOKEN) for all reads. The system requires this token to confirm your authorized access level before pulling any telemetry data.
If I run `tesla_trigger_climate` while the vehicle is parked and sleeping, what error will I receive? +
You'll get an HTTP 408 Timeout. This happens because Tesla severs its network connection to conserve battery power when idle. You must call wake_up_vehicle first.
What is the best practice for polling data using `tesla_get_vehicle_data`? +
We recommend an interval of 5-10 seconds between calls. Polling too frequently can trigger rate limits or unnecessary wake cycles, draining your battery faster.
Does the tool `tesla_control_charge_port` only actuate relays, or does it report current charging status? +
It actuates the physical relay; it doesn't read live metrics. To check if the port is currently active or what SoC you have, use a dedicated data retrieval call after waking up.
Why does the API return HTTP 408 Timeout explicitly mapping bounds natively? +
Because the physical hardware is in Sleep Mode natively. Invoke wake_up_vehicle and strictly wait 10 seconds securely before parsing safely natively.
Can I explicitly control HVAC and climate parameters securely mapping local limits? +
Yes! Utilize trigger_climate exposing logic explicitly securely passing true/false bounds natively generating outputs cleanly.
What explicitly determines the API structural region explicitly mapping connections natively? +
The logical standard TESLA_REGION proxy explicitly parsing na (NA), eu (EU) bounds directly over the SDK native HTTP client.
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