Tescmd is a Python command-line interface (CLI) that provides full access to Tesla's Fleet API, designed for both human operators and AI agents to manage Tesla vehicles and energy products like Powerwalls.

What can I do with Tescmd?

You can query vehicle status (battery, location, climate), send commands (lock/unlock, start charging), manage Powerwalls, stream live telemetry, and integrate seamlessly with AI agent frameworks.

How does Tescmd simplify Tesla Fleet API interaction?

Tescmd automates complex tasks like OAuth2 authentication, token management, key enrollment, command signing, and provides universal response caching, so you can focus on control and monitoring.

Is Tescmd suitable for AI agents?

Yes, Tescmd is purpose-built for AI agents with deterministic JSON output, meaningful exit codes, an MCP server exposing commands as tools, and a cost-aware wake mechanism for safe autonomous use.

Does Tescmd provide live vehicle data?

Absolutely. Tescmd supports live Fleet Telemetry streaming via Tailscale Funnel, delivering cost-effective, push-based data from your vehicle directly to your terminal or agent without constant polling.

Tescmd: Tesla CLI for Vehicle & Energy Product Management

Tescmd provides comprehensive command-line access to Tesla's Fleet API, simplifying the complexities of OAuth2 authentication, token refresh, and command signing. It enables users to query vehicle status, send commands, control climate, manage Powerwalls, and stream live telemetry without needing to interact directly with the API's raw JSON responses. With features like structured JSON output, response caching, and cost-aware wake confirmations, Tescmd is optimized for integration with AI agent frameworks such as OpenClaw and Claude, allowing autonomous systems to safely interact with your Tesla vehicles.

主な機能

01Full command-line access to Tesla Fleet API for vehicle and energy product control.

02Automated handling of OAuth2 authentication, token management, and command signing.

03Live Fleet Telemetry streaming with cost-effective, push-based data via Tailscale Funnel.

04MCP Server and OpenClaw Bridge for AI agent integration, exposing commands as tools.

050 GitHub stars

06Universal response caching and cost-aware wake mechanism for efficient and safe autonomous use.

ユースケース

01Automating Tesla vehicle tasks and data retrieval through scripts and cron jobs.

02Empowering AI agents to control and query Tesla vehicles securely and efficiently.

03Monitoring live telemetry data from Tesla vehicles and Powerwalls in a terminal dashboard.