# Gemini CLI MCP/OpenAI Bridge

> Use this tool when you need to integrate Gemini models with external systems or manage complex workflows through a unified API. It solves problems related to secure file system operations, web searches, and shell command execution by providing configurable security modes. The bridge accepts Gemini CLI inputs and outputs OpenAI-compatible API responses, making it ideal for applications requiring seamless model integration and secure data processing.

Canonical page: https://skillsregistry.net/skills/intelligent-internet-gemini-cli-mcp-openai-bridge  
JSON: https://api.skillsregistry.net/v1/skills/intelligent-internet-gemini-cli-mcp-openai-bridge

## Description

Exposes Gemini CLI's built-in tools and external MCP proxies through a unified MCP endpoint while providing an OpenAI-compatible API for Gemini models. It features configurable security modes to safely manage file system operations, web searches, and shell command execution.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/up6s34zjhk)
- **Repository:** <https://github.com/Intelligent-Internet/gemini-cli-mcp-openai-bridge>

## 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": "intelligent-internet-gemini-cli-mcp-openai-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/intelligent-internet-gemini-cli-mcp-openai-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/intelligent-internet-gemini-cli-mcp-openai-bridge/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