# Tessie MCP Server

> Use this tool when you need to control and monitor Tesla vehicles remotely using natural language commands. It solves problems related to vehicle management, such as adjusting climate settings or checking battery levels, through a simple and intuitive interface. The Tessie MCP Server takes natural language inputs and outputs vehicle status and control responses via the Tessie API.

Canonical page: https://skillsregistry.net/skills/akrowczyk-tessie-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/akrowczyk-tessie-mcp-server

## Description

Enables AI assistants to control and monitor Tesla vehicles via natural language through the Tessie API, supporting battery, climate, security, charging, and more.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vkylx1km30)
- **Repository:** <https://github.com/akrowczyk/tessie-mcp-server>

## 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": "akrowczyk-tessie-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akrowczyk-tessie-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akrowczyk-tessie-mcp-server/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