teslamate-mcp

cobanov
75
A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.
#tesla #tesla-api #teslamate #mcp #mcp-server

Overview

What is teslamate-mcp

teslamate-mcp is a Model Context Protocol (MCP) server that provides access to your TeslaMate database, enabling AI assistants to query Tesla vehicle data and analytics.

How to Use

To use teslamate-mcp, clone the repository, install the dependencies, configure the database connection in a .env file, and run the server using 'uv run python main.py'. Once set up, you can ask natural language questions through an MCP-compatible client.

Key Features

Key features of teslamate-mcp include access to Tesla vehicle information, driving statistics, charging data, battery health, efficiency metrics, and location analytics. It is designed to work seamlessly with MCP-compatible AI assistants.

Where to Use

teslamate-mcp can be used in various domains such as automotive analytics, smart home integration, and AI-driven personal assistants that require real-time access to Tesla vehicle data.

Use Cases

Use cases for teslamate-mcp include querying driving habits, monitoring battery health, analyzing charging patterns, and integrating Tesla data into personal assistant applications for enhanced user experience.

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