Claude Code GUI for VS Code (Windows/macOS)

A full-featured GUI for Claude Code CLI in VS Code, supporting MCP plugins, Skills, and real-time token tracking.

Claude Code GUI for VS Code

This tool provides a comprehensive graphical user interface for the Claude Code Command Line Interface (CLI) directly within Visual Studio Code. Designed for developers, it streamlines interaction with Claude Code, offering enhanced functionality and a more intuitive workflow for AI development and agent management. It integrates seamlessly with VS Code, allowing you to leverage its powerful features without leaving your preferred development environment.

What it Does

The Claude Code GUI for VS Code acts as a visual front-end for the Claude Code CLI. It enables users to interact with Claude Code's capabilities through a user-friendly interface, eliminating the need for complex command-line arguments for many operations. This includes managing and deploying AI agents, utilizing MCP plugins, and developing custom Skills. The GUI also provides real-time monitoring of token usage, crucial for optimizing AI model performance and cost.

Key Features

Full-featured GUI: Offers a complete graphical interface for Claude Code CLI operations.
MCP Plugin Support: Seamless integration and management of MCP plugins for extended functionality.
Skill Development: Facilitates the creation and deployment of custom AI Skills.
Real-time Token Tracking: Monitor token consumption live, aiding in performance and cost management.
VS Code Integration: Operates directly within the Visual Studio Code environment for a unified workflow.
Cross-Platform Compatibility: Supports both Windows and macOS operating systems.

Who it's For

This tool is specifically designed for AI developers, prompt engineers, and anyone building or managing AI agents using Claude Code. If you are working with MCP plugins, developing custom AI Skills, or require efficient monitoring of token usage, this GUI will significantly enhance your productivity. It is ideal for users who prefer a visual approach to managing their AI development tools and workflows within the familiar environment of VS Code.