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

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.