cobanov/teslamate-mcp

Overview

A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics. It is written in Python and connects to a TeslaMate PostgreSQL instance to expose structured vehicle metrics.

Best for

Best for
Tesla owners who use TeslaMate and want to query their vehicle data through AI assistants

Use cases

• Ask an AI assistant for recent trip efficiency or battery usage
• Query historical charging sessions and energy consumption
• Retrieve real-time vehicle location or status via natural language

How to use

Tools exposed

• DATABASE_URL
• AUTH_TOKEN
• POOL_MIN_SIZE
• POOL_MAX_SIZE
• QUERY_TIMEOUT_MS
• CUSTOM_SQL_ROW_LIMIT
• LOG_LEVEL
• HOST
• PORT
• DEBUG
• get_basic_car_information
• get_current_car_status
• get_software_update_history
• get_battery_health_summary
• get_battery_degradation_over_time
• get_daily_battery_usage_patterns
• get_tire_pressure_weekly_trends
• get_monthly_driving_summary
• get_daily_driving_patterns
• get_longest_drives_by_distance

Tested with

Claude Desktop, Cursor

Example client config

{\n  "mcpServers": {\n    "teslamate": {\n      "command": "uv",\n      "args": ["--directory", "/path/to/teslamate-mcp", "run", "teslamate-mcp", "stdio"]\n    }\n  }\n}

Notes

A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics. It is written in Python and connects to a TeslaMate PostgreSQL instance to expose structured vehicle metrics.

127 stars on GitHub. Last updated 2026-05-21. Licensed MIT.

Use cases

• Ask an AI assistant for recent trip efficiency or battery usage
• Query historical charging sessions and energy consumption
• Retrieve real-time vehicle location or status via natural language

Pros

• Lets AI assistants directly query TeslaMate data without manual database access
• Lightweight Python implementation with clear MCP protocol integration
• Open source with 127 stars and active community maintenance

Cons

• Requires a running TeslaMate instance with PostgreSQL database
• Limited to data already collected by TeslaMate (no direct Tesla API access)
• Setup requires configuring MCP host and database credentials

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.