Tesla Fleet API MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tesla Fleet API through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"tesla-fleet-api": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Tesla Fleet API Agent",
instructions:
"You help users interact with Tesla Fleet API " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Tesla Fleet API?"
);
console.log(result.text);
}
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 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:
Mastra's agent abstraction provides a clean separation between LLM logic and Tesla Fleet API tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
- 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 Mastra 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 Tesla Fleet API to Mastra AI via MCP
Follow these steps to integrate the Tesla Fleet API MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Tesla Fleet API via MCP
Why Use Mastra AI with the Tesla Fleet API MCP Server
Mastra AI provides unique advantages when paired with Tesla Fleet API through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Tesla Fleet API without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Tesla Fleet API tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Tesla Fleet API + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Tesla Fleet API MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Tesla Fleet API, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Tesla Fleet API as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Tesla Fleet API on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Tesla Fleet API tools alongside other MCP servers
Tesla Fleet API MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Tesla Fleet API to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Tesla Fleet API to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTesla Fleet API + Mastra AI FAQ
Common questions about integrating Tesla Fleet API MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect Tesla Fleet API to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.