Tesla MCP server

Tesla MCP Server: https://mcp.myteslamate.com/mcp

This repository provides a Model Context Protocol server that wraps both the Tesla Fleet API and the TeslaMate API. It includes vehicle endpoints, vehicle commands, energy endpoints (Powerwall/Solar), and charging endpoints. The implementation is modular and fully featured, exposing 98 MCP tools for the Tesla Fleet API and 9 MCP tools for the TeslaMate API.

✨ What You Can Do

This isn't just remote control — it's a conversational interface to your entire Tesla ecosystem. Express your use cases directly to your AI — describe what you want in plain language and let it figure out which tools to call, in what order, and with what parameters. No app to open, no menu to navigate.

⚡ Energy Optimization

"My Powerwall is at 40%. Should I charge my car now or wait for solar production this afternoon?"

"Analyze my last 30 days of energy data — am I losing money by exporting to the grid while paying to charge at night?"

"Set the Powerwall backup reserve to 20% and schedule the car to charge from 2am to 6am at 16A."

The AI can cross-reference your solar production, Powerwall state, grid rates, and vehicle battery level to give you a recommendation — and act on it immediately.

🚗 Smart Vehicle Management

"I have a road trip to Lyon next Thursday. Based on my usual efficiency, will I need to stop for charging? Find the best Supercharger on the route."

"Compare my energy consumption this month vs last month. What changed?"

"Pre-condition the car at 7:45am every weekday and set the charge limit back to 80% — it's currently at 100% from the trip."

📊 Data & Insights (with TeslaMate API)

"What's my average km/kWh over the last 3 months? Is it getting worse?"

"Show me my most expensive charging sessions this year and where they happened."

"How many hours per week is the car sitting with climate running? What's the energy cost?"

🔐 Security & Peace of Mind

"Is my car locked and is Sentry mode on? I forgot to check before my flight."

"My car is parked downtown. Turn on Sentry mode and send me the current location."

🎨 Generative UI — Custom dashboards on demand

Beyond pre-built widgets, the server exposes a Generative UI capability so the AI can build interactive Prefab UI components on the fly to answer with charts, tables and metric cards — not just text.

"Show me a bar chart of my charging cost per location for last month."

"Build a dashboard for this car: current SoC, last 7 drives, and battery health degradation."

"Compare my efficiency this winter vs last summer with two side-by-side metric cards."

The AI uses generativegenerateprefabui to author Python code in a sandbox (Pyodide + Deno on the server); the resulting widget is rendered directly in your chat through a Skybridge-mime iframe — no template authoring on your side, no extra round-trip. The companion generativesearchprefabcomponents lookup tool keeps the LLM honest about component signatures.

It works equally well for Tesla Fleet API and TeslaMate users — the same generative tool is gated by either subscription.

Skills — pre-framed analytical workflows

The server also ships MCP Skills: markdown workflows the LLM reads on demand to chain tools into a coherent answer. The first one available is drive-efficiency-coach:

"Run the drive efficiency coach for the last 30 days and show it as a report."

The skill walks the AI through fetching your TeslaMate drives, computing Wh/km percentiles, identifying outliers, cross-referencing speed/temperature/trip-length, and rendering a Generative UI report (metric cards + outliers table + 1–3 actionable coaching insights anchored in your own numbers).

🤝 Contribute a skill

Shortened. The full README is on GitHub.