🚀 Gemini MCP Tool - Windows Fixed Version

Latest Version v1.0.21 - Fixed cross-terminal compatibility issues and fetch-chunk format errors

A Windows-compatible Model Context Protocol (MCP) server that enables AI assistants to interact with Google's Gemini CLI. This is a fixed version specifically designed to work seamlessly on Windows environments with PowerShell support.

Note: This is an enhanced version of the original gemini-mcp-tool with Windows-specific fixes and improvements.

🆕 Latest Updates (v1.0.21)

• 🔧 Fixed Cross-Terminal Compatibility - Resolved Node.js path not found issues in different terminal environments

• 📦 Fixed fetch-chunk Format Error - Fixed MCP protocol format mismatch in chunked responses

• 🛡️ Enhanced PATH Environment Variable Handling - Automatically adds common Node.js installation paths

• ✅ Full Compatibility with All Terminals - Supports PowerShell, CMD, VS Code Terminal, Trae AI, CherryStudio, etc.

• 🚀 Improved Error Handling - Better error messages and debug output

v1.0.3 Updates

• 🆕 PowerShell Path Parameter Support - Added optional powershellPath parameter allowing users to customize PowerShell executable path

• ✅ Fixed PowerShell Execution Error - Resolved spawn powershell.exe ENOENT issue

• ✅ Improved Windows Compatibility - Automatic detection of available PowerShell versions

• ✅ Fixed Undefined Variable Error - Fixed args variable issue in executeCommandWithPipedInput function

• ✅ Enhanced Error Handling - Better error messages and debug output

• ✅ Backward Compatibility - Existing configurations require no modification, automatically uses default detection logic

Related MCP server: DeepView MCP

✨ Features

• 🪟 Windows Compatible: Full PowerShell support with Windows-specific path handling

• 📊 Large Context Window: Leverage Gemini's massive token window for analyzing entire codebases

• 📁 File Analysis: Analyze files using @filename syntax

• 🔒 Sandbox Mode: Safe code execution environment

• 🔗 MCP Integration: Seamless integration with MCP-compatible AI assistants (Trae AI, Claude Desktop)

• ⚡ NPX Ready: Easy installation and usage with NPX

• 🔧 Environment Variable Support: Flexible API key configuration

This Windows-fixed version resolves:

• PowerShell parameter passing issues

• Character encoding problems with Chinese/Unicode text

• Command line argument escaping on Windows

• Environment variable handling

📋 Prerequisites

Before using this tool, ensure you have:

1. Node.js (v16.0.0 or higher)

   node --version  # Should be v16+

2. Google Gemini CLI installed and configured

   npm install -g @google/generative-ai-cli
   
   # Verify installation
   gemini --version

3. API Key: Get your API key from Google AI Studio

📦 Installation

Quick Start with NPX (Recommended)

# Use latest version (recommended)
npx gemini-mcp-tool-windows-fixed@1.0.21

# Or use latest version tag
npx -y gemini-mcp-tool-windows-fixed@latest

Global Installation

# Install latest version
npm install -g gemini-mcp-tool-windows-fixed@1.0.21

# Run the tool
gemini-mcp-tool-windows-fixed

Updating Existing Installation

If you previously installed an older version:

# Uninstall old version and install latest
npm uninstall -g gemini-mcp-tool-windows-fixed
npm cache clean --force
npm install -g gemini-mcp-tool-windows-fixed@1.0.21

⚙️ MCP Client Configuration

Claude Code (One-Line Setup)

# One-command setup for Claude Code
claude mcp add gemini-cli -- npx -y gemini-mcp-tool-windows-fixed@1.0.21

Verify Installation: Type /mcp inside Claude Code to verify the gemini-cli MCP is active. 1

Alternative: Import from Claude Desktop

If you already have it configured in Claude Desktop:

1. Add to your Claude Desktop config (see below)

2. Import to Claude Code:

   claude mcp add-from-claude-desktop

Trae AI (Recommended)

1. Open: %APPDATA%\Trae\User\mcp.json

2. Add this configuration:

{
  "mcpServers": {
    "gemini-cli": {
      "name": "gemini-cli",
      "description": "Windows-compatible Gemini MCP Tool",
      "baseUrl": "",
      "command": "npx",
      "args": [
        "-y",
        "gemini-mcp-tool-windows-fixed@1.0.21"
      ],
      "env": {
        "GEMINI_API_KEY": "YOUR_ACTUAL_API_KEY_HERE"
      },
      "isActive": true,
      "providerUrl": "https://github.com/orzcls/gemini-mcp-tool-windows-fixed"
    }
  }
}

Claude Desktop

1. Open: %APPDATA%\Claude\claude_desktop_config.json

2. Add this configuration:

{
  "mcpServers": {
    "gemini-cli": {
      "command": "npx",
      "args": ["-y", "gemini-mcp-tool-windows-fixed@1.0.21"],
      "env": {
        "GEMINI_API_KEY": "YOUR_ACTUAL_API_KEY_HERE"
      }
    }
  }
}

🔑 API Key Configuration

Option 1: MCP Configuration (Recommended)

Replace YOUR_ACTUAL_API_KEY_HERE in the configuration above with your actual API key.

Option 2: Environment Variable

# Temporary (current session)
$env:GEMINI_API_KEY = "your-actual-api-key"

# Permanent (user level)
[Environment]::SetEnvironmentVariable("GEMINI_API_KEY", "your-actual-api-key", "User")

# Verify
echo $env:GEMINI_API_KEY

Configuration File Locations

Claude Desktop:

• Windows: %APPDATA%\Claude\claude_desktop_config.json

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Linux: ~/.config/claude/claude_desktop_config.json

Trae AI:

• Windows: %APPDATA%\Trae\User\mcp.json

🛠️ Available Tools

This MCP server provides the following tools for AI assistants:

1. ask-gemini

Interact with Google Gemini for analysis and questions.

Parameters:

• prompt (required): The analysis request. Use @ syntax for file references

• model (optional): Gemini model to use (default: gemini-2.5-pro)

• sandbox (optional): Enable sandbox mode for safe code execution

• changeMode (optional): Enable structured change mode

• chunkIndex (optional): Chunk index for continuation

• chunkCacheKey (optional): Cache key for continuation

2. brainstorm

Generate creative ideas using various brainstorming frameworks.

Parameters:

• prompt (required): Brainstorming challenge or question

• model (optional): Gemini model to use

• methodology (optional): Framework (divergent, convergent, scamper, design-thinking, lateral, auto)

• domain (optional): Domain context (software, business, creative, etc.)

• constraints (optional): Known limitations or requirements

• existingContext (optional): Background information

• ideaCount (optional): Number of ideas to generate (default: 12)

• includeAnalysis (optional): Include feasibility analysis (default: true)

3. fetch-chunk

Retrieve cached chunks from changeMode responses.

Parameters:

• cacheKey (required): Cache key from initial response

• chunkIndex (required): Chunk index to retrieve (1-based)

4. timeout-test

Test timeout prevention mechanisms.

Parameters:

• duration (required): Duration in milliseconds (minimum: 10ms)

5. ping

Test connection to the server.

Parameters:

• prompt (optional): Message to echo back

6. Help

Display help information about available tools.

🎯 Usage Examples

Once configured, you can use the following tools through your MCP client:

Natural Language Examples 2

With File References (using @ syntax):

• "ask gemini to analyze @src/main.js and explain what it does"

• "use gemini to summarize @. the current directory"

• "analyze @package.json and tell me about dependencies"

General Questions (without files):

• "ask gemini to search for the latest tech news"

• "use gemini to explain div centering"

• "ask gemini about best practices for React development related to @file_im_confused_about"

• "use gemini to explain index.html"

• "understand the massive project using gemini"

• "ask gemini to search for latest news"

Using Gemini CLI's Sandbox Mode (-s): 2 The sandbox mode allows you to safely test code changes, run scripts, or execute potentially risky operations in an isolated environment.

• "use gemini sandbox to create and run a Python script that processes data"

• "ask gemini to safely test @script.py and explain what it does"

• "use gemini sandbox to install numpy and create a data visualization"

• "test this code safely: Create a script that makes HTTP requests to an API"

Slash Commands (for Claude Code Users) 2

You can use these commands directly in Claude Code's interface (compatibility with other clients has not been tested):

• /analyze: Analyzes files or directories using Gemini, or asks general questions

  • prompt (required): The analysis prompt. Use @ syntax to include files (e.g., /analyze prompt:@src/ summarize this directory) or ask general questions (e.g., /analyze prompt:Please use a web search to find the latest news stories)

• /sandbox: Safely tests code or scripts in Gemini's sandbox environment

  • prompt (required): Code testing request (e.g., /sandbox prompt:Create and run a Python script that processes CSV data or /sandbox prompt:@script.py Test this script safely)

• /help: Displays the Gemini CLI help information

• /ping: Tests the connection to the server

  • message (optional): A message to echo back

Available Tools

• ask-gemini: Send prompts to Gemini

  "Explain how MCP works"

• analyze-file: Analyze specific files using @filename syntax

  "Analyze @package.json and suggest improvements"

• sandbox-mode: Execute code in a safe environment

  "Run this Python code in sandbox mode: print('Hello World')"

🔧 Windows-Specific Fixes

This version includes the following Windows-specific improvements:

1. PowerShell Parameter Handling: Fixed argument passing to avoid parameter splitting

2. Character Encoding: Proper UTF-8 handling for Chinese and Unicode characters

3. Quote Escaping: Correct escaping of quotes in command arguments

4. Environment Variables: Improved .env file loading and environment variable handling

5. Path Resolution: Windows-compatible path handling

🧪 Testing Installation

1. Test Gemini CLI

gemini -p "Hello, how are you?"

2. Test MCP Tool

npx -y gemini-mcp-tool-windows-fixed
# Should show: [GMCPT] Gemini CLI MCP Server (Fixed) started

3. Test MCP Integration

1. Restart your MCP client (Trae AI, Claude Desktop)

2. Try asking: "Use gemini to explain what MCP is"

3. Check for successful responses

🐛 Troubleshooting

Common Issues

"Command not found: gemini"

npm install -g @google/generative-ai-cli

"API key not found"

# Check if API key is set
echo $env:GEMINI_API_KEY

# Set if empty
$env:GEMINI_API_KEY = "your-api-key"

"Permission denied"

# Check execution policy
Get-ExecutionPolicy
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

For detailed troubleshooting, see INSTALL-GUIDE.md.

🔧 Windows-Specific Fixes

This version includes several Windows-specific improvements:

• PowerShell Integration: Native PowerShell command execution

• Path Handling: Proper Windows path resolution

• Environment Variables: Enhanced environment variable support

• Error Handling: Better error messages for Windows environments

• Dependency Management: Simplified dependency structure

🤝 Contributing

Contributions are welcome! Please:

1. Fork the repository

2. Create a feature branch

3. Test on Windows environments

4. Submit a pull request

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

• Original project: jamubc/gemini-mcp-tool

• Google Gemini CLI team

• Model Context Protocol (MCP) community

📞 Support

If you encounter any issues or have questions:

1. Check the Issues page

2. Create a new issue with detailed information about your problem

3. Include your Windows version, Node.js version, and error messages

Made with ❤️ for Windows developers

Note: This is a Windows-optimized fork of the original gemini-mcp-tool. For other platforms, consider using the original version.