teslamate-mcp

Overview

This MCP server connects to TeslaMate databases, enabling AI assistants to query Tesla vehicle data through the Model Context Protocol. It offers both predefined analytical queries for battery health, efficiency, charging patterns, and driving analytics, as well as safe custom SQL execution with built-in validation. The server supports both local deployment via command line and remote access via HTTP with optional authentication.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• get_basic_car_information

  Get basic vehicle information including VIN, model, and firmware version

  Try:What's my car's VIN?Try:What model is my Tesla?Try:Show me my firmware version
• get_current_car_status

  Retrieve real-time vehicle status including location and battery level

  Try:Where is my car now?Try:What's my current battery level?Try:Is my car charging?
• get_software_update_history

  View timeline of all software updates for the vehicle

  Try:Show me my update historyTry:When did I last get an update?Try:List all firmware upgrades
• get_battery_health_summary

  Get current battery health metrics and condition

  Try:How's my battery health?Try:What's my battery condition?Try:Show battery health stats
• get_battery_degradation_over_time

  Analyze historical battery capacity degradation

  Try:How has my battery degraded?Try:Track battery capacity over timeTry:Show battery degradation history
• get_monthly_driving_summary

  Get monthly driving statistics and summaries

  Try:How much did I drive this month?Try:Show my monthly driving statsTry:Compare last month's driving
• get_daily_driving_patterns

  Analyze daily driving habits and routines

  Try:What are my driving patterns?Try:When do I drive most?Try:Show my daily habits
• get_total_distance_and_efficiency

  Get lifetime distance traveled and efficiency metrics

  Try:How many miles have I driven?Try:What's my lifetime efficiency?Try:Show total distance stats
• get_efficiency_by_month_and_temperature

  Analyze efficiency patterns across months and temperatures

  Try:How does temperature affect efficiency?Try:Show monthly efficiency changesTry:Compare efficiency by season
• get_charging_by_location

  Analyze charging patterns by location

  Try:Where do I charge most?Try:Show charging locationsTry:Which charging station do I use most?
• get_database_schema

  View the TeslaMate database structure and tables

  Try:Show me the database schemaTry:What tables are available?Try:List all database tables
• run_sql

  Execute custom SELECT queries against the TeslaMate database

  Try:Find all drives over 100kmTry:Query charging sessions this monthTry:Show me drives with max speed over 100

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Installation

git clone https://github.com/cobanov/teslamate-mcp.git
cd teslamate-mcp
cp env.example .env
# Edit .env with your DATABASE_URL
uv sync

{
  "mcpServers": {
    "teslamate": {
      "command": "uv",
      "args": ["--directory", "/path/to/teslamate-mcp", "run", "main.py"]
    }
  }
}

git clone https://github.com/cobanov/teslamate-mcp.git
cd teslamate-mcp
cp env.example .env
# Edit .env with your DATABASE_URL
docker-compose up -d

FAQ

What is TeslaMate and how does this MCP server connect to it?

TeslaMate is an open-source self-hosted data logger for Tesla vehicles. This MCP server connects directly to your TeslaMate PostgreSQL database to provide AI assistants access to your vehicle data.

How secure is the data access provided by this MCP server?

The server implements multiple security measures: only read-only SELECT queries are allowed, all SQL queries are validated, and optional bearer token authentication can be enabled for remote deployments.

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