Tesla Control via Tessie

Tesla Control via Tessie extends your AI assistant with the ability to control and monitor Tesla vehicles via the Tessie API. Use when you need to check Tesla status (battery, location, charging), control climate (heat/cool), lock/unlock doors, start/stop charging, honk/flash lights, open charge port or trunks, or any other Tesla vehicle command. Requires TESSIE_API_KEY environment variable. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Tesla Control via Tessie as its underlying capability.

Tesla Control via Tessie works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Tesla Control via Tessie once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

To install Tesla Control via Tessie, copy the skill folder to `~/.claude/skills/tesla-tessie/` for use across all your projects, or `.claude/skills/tesla-tessie/` for a single project. Restart Claude and the skill is immediately active — invoke it with `/tesla-tessie` or just describe your goal and the AI will pick it up automatically.

Tesla Control via Tessie has been installed 1,575 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.