Gemini CLI Desktop

v1.0.0Developer Toolsstable

Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, switch between tools, search across past conversations, and manage MCP servers, all from one multilingual interface, locally or remotely.

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What is Gemini CLI Desktop?

Gemini CLI Desktop is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to web/desktop ui for gemini cli/qwen code. manage projects, switch between tools, search across past conversations, and manage mcp servers, all from one multilingual interface, locally or remotely.

Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, switch between tools, search across past conversations, and manage MCP servers, all from one multilingual interface, locally or remotely.

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

Features

  • Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, sw

Use Cases

Manage projects and switch between tools in a multilingual desktop UI.
Search conversation history and manage MCP servers from one interface.
Piebald-AI

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMay 21, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx gemini-cli-desktop

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Gemini CLI Desktop

Gemini CLI Desktop is a cross-platform web and desktop application that provides a graphical user interface for Gemini CLI and Qwen Code, letting developers manage AI coding sessions, switch between models, search conversation history, and configure MCP servers all from one multilingual interface. It supports Gemini 2.5 Pro/Flash, Gemini 3 Pro/Flash, Qwen Code, and custom OpenAI-compatible providers, and runs as either a local desktop app or a self-hosted web service. Teams use it to get a visual layer on top of Gemini CLI without giving up the power of MCP tool integrations.

Prerequisites

  • A Gemini API key from Google AI Studio (aistudio.google.com)
  • For pre-built binaries: no additional dependencies (download from GitHub Releases)
  • For building from source: Rust, Node.js, pnpm, and the just task runner
  • On Linux from source: libgdk-pixbuf-2.0-dev, libpango1.0-dev, libwebkit2gtk-4.1-dev, and related GTK libraries
1

Download the pre-built binary for your platform

Go to the GitHub Releases page and download the installer for your OS: Windows (x64 .exe), macOS (Intel or Apple Silicon .dmg), or Linux (x64 AppImage).

https://github.com/Piebald-AI/gemini-cli-desktop/releases
2

Install and launch the application

Run the installer or mount the .dmg (macOS), mark the AppImage as executable on Linux, or run the .exe on Windows. The app starts a local backend on port 1858 and opens the web UI.

# Linux AppImage example:
chmod +x gemini-cli-desktop.AppImage
./gemini-cli-desktop.AppImage
3

Enter your Gemini API key

On first launch, the application will prompt you for a Gemini API key. Get one from https://aistudio.google.com/app/apikey and paste it into the settings screen.

4

Select your model

Use the model switcher in the interface to choose from Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Pro, Qwen Code, or a custom OpenAI-compatible provider endpoint.

5

Configure MCP servers from the UI

Open the MCP Servers section in settings to add, remove, or toggle MCP server integrations. The UI writes the same JSON config that Gemini CLI uses natively.

6

(Optional) Build from source

Clone the repo and use the just task runner to build all targets including the desktop app and web frontend.

git clone https://github.com/Piebald-AI/gemini-cli-desktop
cd gemini-cli-desktop
just deps build-all

Gemini CLI Desktop Examples

Client configuration

Gemini CLI Desktop manages its own MCP server settings through the UI. If you need to manually edit the underlying Gemini CLI config, it follows this format:

{
  "mcpServers": {
    "my-server": {
      "command": "npx",
      "args": ["-y", "my-mcp-package"]
    }
  }
}

Prompts to try

Example tasks you can accomplish inside Gemini CLI Desktop using Gemini models and connected MCP tools.

- "Search my conversation history for all sessions where we discussed database migrations"
- "Switch to Gemini 2.5 Flash and summarize the last 3 conversations in this project"
- "Use the file system MCP tool to read my package.json and suggest dependency updates"
- "Start a new project session for my API refactoring work and set the context"
- "Show me all MCP servers currently configured and which ones are active"

Troubleshooting Gemini CLI Desktop

Application fails to start or the web UI does not open

Check that port 1858 is not occupied by another process. On Linux, ensure all required GTK libraries are installed (libwebkit2gtk-4.1-dev, libgdk-pixbuf-2.0-dev). Run from a terminal to see startup error messages.

Gemini API requests fail with authentication errors

Verify your API key is entered correctly in Settings. Keys must be from Google AI Studio (aistudio.google.com) and have the Generative Language API enabled. If the key was created in Google Cloud Console, ensure the correct project and API are activated.

MCP server shows as connected but tools are not available

Open the MCP Servers panel and check the server status indicator. Restart the MCP server from the UI, and verify the command or URL in the server configuration is reachable. Check the application logs in the terminal for connection errors.

Frequently Asked Questions about Gemini CLI Desktop

What is Gemini CLI Desktop?

Gemini CLI Desktop is a Model Context Protocol (MCP) server that web/desktop ui for gemini cli/qwen code. manage projects, switch between tools, search across past conversations, and manage mcp servers, all from one multilingual interface, locally or remotely. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Gemini CLI Desktop?

Follow the installation instructions on the Gemini CLI Desktop GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Gemini CLI Desktop?

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

Is Gemini CLI Desktop free to use?

Yes, Gemini CLI Desktop is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

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

Quick Config Preview

{ "mcpServers": { "gemini-cli-desktop": { "command": "npx", "args": ["-y", "gemini-cli-desktop"] } } }

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

Read the full setup guide →

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