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Your AI Coding Control Plane

A unified management control plane for AI-powered development environments.
Manage your IDEs, CLIs, Extensions, Terminals, MCP Servers, Models, and Provider Keys — all in one place.

Install VCPanel CLI via npm:

npm i -g @vcpanel/cli

Or download VCPanel Desktop app:

⬇ Download for macOS
Read the documentation →

//Core Features

┌─────┐
│ APP │
└─────┘

Unified Application Management

Centrally manage all your AI coding tools: IDEs (VS Code, Cursor, TRAE), CLIs (Claude Code, Codex), Terminals (iTerm2, Warp, Ghostty), and MCP Hosts.

┌─────┐
│ API │
└─────┘

API Key Management

Securely store and manage API keys for multiple LLM providers. Configure once, use everywhere across all your AI coding applications.

┌─────┐
│ MCP │
└─────┘

MCP Discovery & Sync

Discover, install, and synchronize MCP (Model Context Protocol) servers across all your AI coding environments with one click.

┌─────┐
│ LLM │
└─────┘

Model Configuration

Configure and switch between different LLMs (Grok, DeepSeek, Kimi, Qwen, GLM) for your AI coding tools from a single control panel.

//Frequently Asked Questions

▶

What is VCPanel and how does it help AI-powered development?

VCPanel (Vibe Coding Panel) is a unified control plane for managing AI-powered development environments. It centralizes the management of AI coding tools including IDEs like VS Code and Cursor, command-line tools like Claude Code, terminals like iTerm2 and Warp, MCP servers, LLM models, and API provider keys. Instead of configuring each tool separately, VCPanel provides a single interface to manage all your AI coding infrastructure, saving time and reducing configuration complexity.

▶

How do I install VCPanel CLI or Desktop app?

You can install VCPanel in two ways:

  • CLI Installation: Run npm i -g @vcpanel/cli in your terminal to install the command-line interface globally via npm.
  • Desktop App: Download the desktop application for macOS from the homepage. Windows support is coming soon.

Both options provide the same core functionality, so choose based on your preference for command-line or graphical interfaces.

▶

What is MCP (Model Context Protocol) and why should I use it?

MCP (Model Context Protocol) is a standardized protocol that enables AI models to interact with external tools and data sources. MCP servers act as bridges between AI agents and various services like databases, APIs, file systems, and web services. Using MCP through VCPanel allows you to discover, install, and synchronize these servers across all your AI coding environments, giving your AI agents enhanced capabilities such as browsing the web, accessing documentation, querying databases, and integrating with development tools. This dramatically expands what your AI coding assistants can do to help you code.

▶

Which AI coding tools and LLM providers does VCPanel support?

VCPanel supports a comprehensive ecosystem of AI coding tools and services:

  • IDEs: Visual Studio Code, Cursor, TRAE, and other AI-enhanced code editors
  • CLIs: Claude Code, Codex, and other command-line AI agents
  • Extensions: GitHub Copilot, Cline, Continue, Roo Code, and other AI code assistant plugins
  • Terminals: iTerm2, Warp, Ghostty, WezTerm, and modern terminal emulators
  • Models: DeepSeek, Kimi K2, GLM, Qwen, and other leading AI models
  • Providers: OpenAI, Anthropic, DeepSeek, Moonshot, OpenRouter, SiliconFlow, and more

The platform is continuously updated with new tools and providers as they become available.

▶

Is VCPanel open source? Can I contribute to the project?

Yes, vcpanel.dev site and vcpanel-cli is fully open source and released under the AGPL-3 license. The project welcomes contributions from the community. You can contribute by adding new tool metadata to the manifests directory (terminals.json, ides.json, clis.json, mcps.json, models.json, providers.json), reporting issues, suggesting features, or improving documentation. Visit the GitHub to get started with contributing to the AI coding ecosystem.

▶

How does VCPanel handle API keys and sensitive credentials securely?

VCPanel prioritizes security for API key management. All credentials are stored locally on your machine using encrypted storage mechanisms. API keys are never sent to external servers or shared with third parties. The platform uses industry-standard encryption to protect sensitive data at rest. When you configure API keys in VCPanel, they are securely synchronized to your AI coding tools through encrypted channels. You maintain full control over your credentials and can update or revoke access at any time.