What category is Tesla Fleet API MCP Server?

Tesla Fleet API is categorized under APIs. Browse more servers in these categories on MCPgee.

Tesla Fleet API

Name: Tesla Fleet Api MCP Server
Author: Community

v1.0.0•APIs•stable

MCP server for tesla fleet api

other-tools-and-integrations

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What is Tesla Fleet API?

Tesla Fleet API is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for tesla fleet api

MCP server for tesla fleet api

This server falls under the APIs category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

MCP server for tesla fleet api

Use Cases

Tesla vehicle fleet access

Community

Maintainer

LicenseMIT

Languagetypescript

Versionv1.0.0

UpdatedN/A

Statushealthy

Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Browse All Servers

Installation

NPM

npx -y tesla-fleet-api

Manual Installation

npx -y tesla-fleet-api

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms

ThroughputMedium

Resource Usage

Memory UsageLow

CPU UsageLow

Frequently Asked Questions about Tesla Fleet API

What is Tesla Fleet API?

Tesla Fleet API is a Model Context Protocol (MCP) server that mcp server for tesla fleet api It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Tesla Fleet API?

Install via npm with the command: npx -y tesla-fleet-api. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Tesla Fleet API?

Tesla Fleet API works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Tesla Fleet API free to use?

Yes, Tesla Fleet API is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Explore all apis servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

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Set Up Tesla Fleet API in Your Editor

Choose your AI client for step-by-step setup instructions.

🖥️

Claude Desktop

macOS & Windows app

⌨️

Claude Code

CLI & terminal

📝

Cursor

AI-first code editor

💻

VS Code

GitHub Copilot MCP

🏄

Windsurf

Codeium AI editor

🔌

Cline

VS Code extension

Quick Config Preview

{
  "mcpServers": {
    "tesla-fleet-api": {
      "command": "npx",
      "args": ["-y", "tesla-fleet-api"]
    }
  }
}

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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