# Gemini CLI (Windows Fixed)

> Use this tool when you need to integrate Google's Gemini CLI with Windows environments, addressing character encoding and parameter handling issues. It solves problems of unreliable execution and encoding failures, providing a stable interface for AI assistants to interact with Gemini models. The tool accepts various inputs, including PowerShell commands and model parameters, and outputs structured responses, making it ideal for Windows developers requiring seamless Gemini CLI integration.

Canonical page: https://skillsregistry.net/skills/orzcls-gemini-cli-windows-fixed  
JSON: https://api.skillsregistry.net/v1/skills/orzcls-gemini-cli-windows-fixed

## Description

Windows-compatible MCP server that enables AI assistants to interact with Google's Gemini CLI by addressing character encoding and parameter handling issues specific to Windows environments. Built as a fixed version of existing Gemini MCP tools, it provides proper PowerShell integration with automatic executable detection, supports multiple Gemini models including the 2.5 series, and includes specialized features like sandbox mode for safe code execution and changeMode for structured edit suggestions. The implementation includes chunking capabilities for large responses, brainstorming tools with creative frameworks, and comprehensive error handling, making it particularly valuable for Windows developers who need reliable Gemini CLI integration without the common encoding and execution failures that plague other implementations.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/orzcls-gemini-cli-windows-fixed)
- **Repository:** <https://github.com/orzcls/gemini-mcp-tool-windows-fixed>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "orzcls-gemini-cli-windows-fixed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orzcls-gemini-cli-windows-fixed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orzcls-gemini-cli-windows-fixed/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt