Gemini MCP Tool Windows Fixed
The Windows-compatible version of the Gemini MCP tool, which fixes cross-terminal compatibility and response format issues, and supports AI assistants to interact with Google Gemini CLI via the MCP protocol
rating : 2 points
downloads : 4.2K
What is the Gemini MCP Tool?
This is an MCP server optimized specifically for Windows, serving as a bridge between AI assistants and Google Gemini CLI. Through the standardized Model Context Protocol, various AI assistants can directly leverage the powerful analysis capabilities of Gemini.How to use the Gemini MCP Tool?
Simply configure it to integrate with AI assistants that support the MCP protocol (such as Trae AI/Claude). You can invoke Gemini's analysis capabilities through natural language instructions. It supports multiple functions such as file analysis, code execution, and creative generation.Applicable scenarios
Code analysis/Technical problem solving/Document processing/Creative brainstorming/Secure code testing/Large project analysisMain Features
Deep Windows Compatibility
Optimized for the Windows environment, perfectly supporting terminals such as PowerShell/CMD, and solving compatibility issues such as paths, encodings, and parameter passing.
Intelligent File Analysis
Directly analyze code files or document contents through the @filename syntax, supporting analysis of entire directories.
Secure Sandbox Mode
Safely execute code tests in an isolated environment to avoid impacts on the local system.
Extra-large Context Window
Leveraging the advantages of Gemini's large model, it can handle complex contexts up to millions of tokens.
Multi-client Support
Configuration templates for popular clients such as Trae AI/Claude are pre - set and ready to use out of the box.
Advantages
No complex configuration required, run with one - click using npx
Native support for Chinese and Unicode
Automatically fix Windows environment variable issues
Comprehensive error handling and debugging information
Backward compatible with old - version configurations
Limitations
Depends on the Google Gemini CLI basic environment
Exclusive to the Windows platform; other systems need to use the original version
Processing large files may take a long time
How to Use
Install the Basic Environment
Ensure that Node.js (v16+) and Google Gemini CLI are installed.
Obtain the API Key
Get the GEMINI_API_KEY from Google AI Studio.
Run the MCP Server
Quickly start via NPX (recommended) or install globally.
Configure the AI Client
Add MCP configurations according to the AI assistant you are using (such as Trae/Claude).
Usage Examples
Code Analysis
Analyze specific code files in the project
Security Testing
Test unknown scripts in the sandbox
Technical Research
Get the latest technology trends
Frequently Asked Questions
Why does it prompt 'gemini command not found'?
How to set a permanent API key?
Which file types are supported for analysis?
What are the limitations of the sandbox mode?
Related Resources
Official Documentation of Google Gemini CLI
Usage guide for the basic CLI tool
MCP Protocol Specification
Technical specification of the Model Context Protocol
Windows Installation Video Tutorial
Complete configuration demonstration from scratch

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