# codex-gemini-bridge

> codex-gemini-bridge — theotherkim-codex-gemini-bridge. Use this tool when you need to integrate OpenAI Codex with Gemini models for enhanced natural language processing capabilities. It solves the problem of limited model accessibility by providing a bridge between Codex and Gemini via the Antigravity CLI. This tool takes natural language prompts as input and outputs model listings and results, ideal for use cases requiring seamless model interaction within Codex.

Canonical page: https://skillsregistry.net/skills/theotherkim-codex-gemini-bridge  
JSON: https://api.skillsregistry.net/v1/skills/theotherkim-codex-gemini-bridge

## Description

A lightweight MCP server that bridges OpenAI Codex to Gemini models via the Antigravity CLI, enabling natural language prompts and model listing within Codex.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ah7izud5il)
- **Repository:** <https://github.com/theotherkim/codex-gemini-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": "theotherkim-codex-gemini-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theotherkim-codex-gemini-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theotherkim-codex-gemini-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