# TeslaMate

> Use this tool when you need to analyze Tesla vehicle data, such as battery health, charging patterns, and driving efficiency, to optimize performance and track usage. It provides 20 pre-built analytical tools and custom SQL query capabilities, with a safe and secure interface that supports local and remote deployment. Ideal for Tesla owners who want to gain insights into their vehicle's behavior and make data-driven decisions through natural language queries.

Canonical page: https://skillsregistry.net/skills/teslamate  
JSON: https://api.skillsregistry.net/v1/skills/teslamate

## Description

This MCP server provides comprehensive access to TeslaMate database analytics, enabling AI assistants to query Tesla vehicle data including battery health, charging patterns, driving efficiency, location analytics, and software update history. Built by Mert Cobanov using Python with FastMCP and psycopg, it offers 20 pre-built analytical tools covering everything from basic car information to unusual power consumption detection, plus custom SQL query capabilities with safety validation that only allows SELECT statements. The implementation supports both local stdio and remote HTTP deployment with optional bearer token authentication, making it valuable for Tesla owners who want to analyze their vehicle data through natural language queries, track battery degradation over time, optimize charging habits, or build custom dashboards and reports from their TeslaMate installation.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/teslamate)
- **Repository:** <https://github.com/cobanov/teslamate-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "teslamate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teslamate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teslamate/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt