# Codex Browser Bridge

> Use this tool when you need to automate browser interactions and integrate AI agents with Chrome extension functionality. It solves problems related to web automation, data extraction, and AI-driven browsing by providing a local connection to Chrome DevTools Protocol. The Codex Browser Bridge takes in AI agent requests and outputs automated browser actions, such as tab management and page inspection, through a local MCP interface.

Canonical page: https://skillsregistry.net/skills/deliciousbuding-codex-browser  
JSON: https://api.skillsregistry.net/v1/skills/deliciousbuding-codex-browser

## Description

Browser automation MCP server (Go binary) that connects AI agents to Codex Desktop's Chrome extension via local Chrome DevTools Protocol. Provides tools for tab management, navigation, page inspection, clicking, typing, and screenshots through a local MCP connection. Designed for Windows, explicitly not affiliated with OpenAI, Anthropic, or Google.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/deliciousbuding-codex-browser)
- **Repository:** <https://github.com/deliciousbuding/codex-browser-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": "deliciousbuding-codex-browser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deliciousbuding-codex-browser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deliciousbuding-codex-browser/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