TeslaMate
Serves Tesla vehicle data and analytics from a TeslaMate database to AI assistants via the Model Context Protocol.
About
This Model Context Protocol (MCP) server connects directly to your TeslaMate PostgreSQL database, providing a comprehensive interface for AI assistants to access and analyze your Tesla's data. It exposes tools for retrieving detailed vehicle information, driving statistics, charging data, battery health metrics, efficiency analysis, and location insights, enabling natural language queries about your Tesla data through MCP-compatible clients like Claude Desktop.
Key Features
- Exposes various tools for querying driving statistics and efficiency metrics.
- Integrates with MCP-compatible AI assistants for natural language data querying.
- Provides insights into battery health, degradation, and daily usage patterns.
- 49 GitHub stars
- Connects to TeslaMate PostgreSQL databases to access vehicle data.
- Analyzes charging sessions and frequently visited locations.
Use Cases
- Monitoring charging patterns and most visited locations based on TeslaMate data.
- Analyzing personal driving habits, efficiency trends, and battery performance over time.
- Allowing AI assistants to retrieve real-time and historical Tesla vehicle information.