Tesla MCP Server

The Tesla MCP Server bridges Claude and the Tesla Owner API, giving AI assistants direct access to a vehicle’s telemetry, command interface, and solar system data. By exposing authentication handling and a suite of high‑level tools, it removes the need for developers to write custom OAuth flows or craft raw REST calls. Instead, Claude can simply invoke a single “tool” and receive structured data or trigger actions on the user’s behalf.

What problem does it solve?

Many Tesla owners use AI assistants to manage their cars—checking battery levels, scheduling charging, or controlling climate settings. Without a dedicated MCP layer, developers would have to handle token refresh logic, endpoint discovery, and payload validation themselves. The Tesla MCP Server packages all of that complexity into a reusable service: it authenticates once, stores a refresh token securely, and automatically renews access tokens for every request. This streamlines integration and reduces the surface area for bugs or security lapses.

Key features in plain language

• OAuth2 authentication wizard – a one‑time script that opens the browser, completes Tesla’s OAuth flow, and writes a file for future sessions.
• Vehicle tooling – , , and let Claude list, inspect, or control any Tesla in the owner’s fleet.
• Solar system access – , , and expose real‑time production, storage status, and historical performance.
• Status checking – reports whether the server can reach Tesla’s API, helping diagnose connectivity or credential issues.
• Automatic token refresh – the server reads the stored refresh token and renews it as needed, so Claude never needs to re‑authenticate manually.

Use cases and real‑world scenarios

• Home automation – a user can ask Claude, “What’s the state of my car battery?” and receive an immediate answer without leaving their living room.
• Energy management – by querying solar history, Claude can advise on optimal charging times or predict energy savings.
• Fleet oversight – businesses with multiple Teslas can let Claude generate status reports or trigger remote commands for maintenance.
• Prototyping – developers can quickly spin up a test harness to validate new features in their AI workflows without dealing with API keys or rate limits.

Integration into AI workflows

Once the MCP server is registered in Claude Desktop, each tool becomes a first‑class action. A conversation can include prompts like “Please send the door lock command to my Model 3.” Claude translates that into a call, receives the JSON response, and formats it back to the user. The server’s structured outputs also allow downstream logic—such as conditional branching or data aggregation—to be handled directly by the assistant, keeping application code minimal.

Unique advantages

• Zero‑code API consumption – developers no longer need to write HTTP clients; the MCP server handles all request/response plumbing.
• Secure credential handling – tokens are stored in a protected file and never exposed to the assistant’s runtime, mitigating accidental leaks.
• Extensibility – additional Tesla endpoints can be added as new tools without touching the core authentication logic.
• Open‑source, GPL‑licensed – teams can audit, modify, or redistribute the server to fit their privacy and compliance requirements.

In summary, the Tesla MCP Server turns the Tesla Owner API into a ready‑to‑use toolkit for Claude and other MCP‑compatible assistants, enabling seamless vehicle and solar system interactions within conversational AI applications.