Smartcar for Meta Muse
Read and control connected cars across many brands (Tesla, Ford, GM, Toyota, BMW, Hyundai and others) through one standardized API. Read odometer, location, charge and battery level, fuel level and tire pressure; lock/unlock doors; start/stop charging; set charge limits and schedules; route the built-in navigation. Use when the user mentions their car and the brand has no dedicated connector here, or asks for cross-brand vehicle telemetry and control.
View original source ↗How to set it up
Paste a promptDraft — these instructions come from the linked source and have not been independently live-tested by OpenTools.
Before you start
- provider OAuth 2.0 (Smartcar Connect) via the secure credential flow
Steps
- Paste the install prompt into a chat with Muse.
- Muse fetches the pinned SKILL.md and the 2 files in its manifest.
- Authorize your own account through Muse’s secure credential flow.
- Have Muse run the status check shown in the source skill.
Prompt to paste into Muse
Install this connector: https://raw.githubusercontent.com/bluman1/muse-connectors/6e31fd44a71f9f28377a1460e64cd7483c3cce22/connectors/smartcar/SKILL.md Read its Files manifest and install exactly those files. Collect credentials through Muse's secure credential flow; never ask me for raw keys in chat. Run the skill's status check and report the result.
Account access: provider OAuth (Smartcar Connect) via the secure credential flow (`credentials.request_api_access`); same OAuth pattern as the `slack` and `x` connectors. Register the app at dashboard.smartcar.com to get the client ID and secret.
Allowed hosts: api.smartcar.com
Confirm it works: `bin/smartcar.py auth` (must return `"ok": true`)
Services it connects with
These are the services the connector uses. The publisher is identified separately.
Smartcar