What does Tesla MCP Server do?
It acts as a bridge between Claude and the Tesla Owner API, allowing Claude to read vehicle and solar system data and send commands.
@robcerda
基本信息
MCP Server for Tesla Products, specifically using the Owner API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"tesla-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Tesla MCP Server is a Model Context Protocol (MCP) server that connects Claude with the Tesla Owner API. It provides tools for authentication and data retrieval for Tesla vehicles and solar systems, intended for developers using Claude Desktop.
Install dependencies with uv, clone the repo, create a virtual environment, and sync. Configure Claude Desktop by running mcp install src/tesla_mcp_server/server.py --name "Tesla" --with-editable . then restart Claude. On first use, authenticate via a browser; a refresh_token.txt file is created for future sessions.
mcp run src/tesla_mcp_server/server.pyIt acts as a bridge between Claude and the Tesla Owner API, allowing Claude to read vehicle and solar system data and send commands.
On first run, the server opens a browser for Tesla OAuth2 login. After approval, a `refresh_token.txt` file is saved and reused automatically.
Python 3.12 or higher, plus the MCP Python SDK, httpx, and python-dotenv. A virtual environment is recommended.
The `refresh_token.txt` file should never be committed to version control. It contains credentials for continued access without re‑authentication.
Yes, the `send_command` tool allows sending commands such as climate control or charging start/stop to a specified vehicle.
Open-source MCP to use Blender with any LLM
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one
Hindsight: Agent Memory That Learns
评论