# Tesla MCP Server

> Use this tool when you need to control and monitor Tesla vehicles remotely through AI assistants like Claude. It solves problems such as remotely waking up vehicles and retrieving real-time status updates, and supports inputs through HTTP/SSE transports and stdio, with outputs including detailed vehicle information. Ideal for use cases requiring real-time vehicle management and debugging, such as fleet management and smart mobility applications.

Canonical page: https://skillsregistry.net/skills/sara3-tesla-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sara3-tesla-mcp

## Description

An MCP server that connects to the Tesla Fleet API, allowing users to control vehicles and retrieve real-time status updates through Claude and other AI assistants. It supports functions such as waking up vehicles, viewing detailed vehicle information, and debugging via both stdio and HTTP/SSE transports.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i0k3eihyc1)
- **Repository:** <https://github.com/Sara3/Tesla-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": "sara3-tesla-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sara3-tesla-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sara3-tesla-mcp/pull`

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