MCPSERV.CLUB
cobanov

TeslaMate MCP Server

MCP Server

Query Tesla vehicle data via AI-friendly API

Stale(60)
103stars
4views
Updated 19 days ago

About

A Model Context Protocol server that connects to a TeslaMate PostgreSQL database, exposing tools for retrieving vehicle information, charging statistics, battery health, and location analytics. It enables AI assistants to answer natural language queries about Tesla data.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

teslamate-mcp

The TeslaMate MCP Server bridges the gap between Tesla vehicle telemetry and AI‑powered assistants. By connecting to a local or remote TeslaMate PostgreSQL database, it exposes a rich set of tools that let Claude and other MCP‑compatible assistants answer natural‑language questions about your car’s status, usage history, charging behavior, and battery health. Instead of building custom APIs or parsing raw logs, developers can rely on a single, well‑defined protocol to query all relevant data in one place.

This server solves the problem of fragmented vehicle data access. Tesla’s own APIs are limited, rate‑restricted, and often require OAuth flows that are cumbersome to maintain. TeslaMate aggregates raw OBD and cloud telemetry into a structured database, but interacting with it manually demands SQL knowledge. The MCP server abstracts these complexities: developers simply register the server URL, and AI assistants can invoke pre‑defined tools like or . The result is a seamless, conversational interface that translates user intent into precise database queries and returns JSON‑formatted responses.

Key capabilities include:

  • Vehicle metadata: VIN, model, color, and user‑defined name.
  • Real‑time status: Current location, battery level, temperature, and door lock state.
  • Historical analytics: Trip summaries, energy consumption, charging sessions, and battery degradation trends.
  • Software updates: A timeline of firmware releases applied to the vehicle.

These features empower a variety of use cases. An AI assistant can answer “How many miles did I drive last month?” or “When was the last software update applied to my car?” by pulling aggregated data from TeslaMate. Developers can build dashboards that surface this information in natural language, create alerts for abnormal battery behavior, or feed the data into machine‑learning models that predict future charging needs. Because the server adheres to MCP, it integrates effortlessly into existing AI workflows—whether you’re using Claude Desktop, a custom chatbot, or any tool that supports the protocol.

What sets this MCP server apart is its zero‑code integration for end users and its tight coupling with TeslaMate’s comprehensive data model. By leveraging the proven TeslaMate ecosystem, it provides reliable, high‑resolution telemetry without exposing sensitive credentials or requiring complex OAuth setups. The server’s optional bearer‑token authentication and guidance on secure deployment further ensure that developers can expose vehicle data safely, even in production environments.