# universal-browser-bridge

> universal-browser-bridge — code-x-coffee-universal-browser-bridge. Use this tool when you need to control Chrome tabs programmatically with explicit security measures, enabling MCP-compatible AI agents to interact with web pages while requiring human approval for critical actions. It solves problems of secure browser automation and provides a local bridge interface for inputs such as tab identifiers and actions, and outputs including tab content and user approvals. Ideal for use cases requiring both automation and human oversight in web-based workflows.

Canonical page: https://skillsregistry.net/skills/code-x-coffee-universal-browser-bridge  
JSON: https://api.skillsregistry.net/v1/skills/code-x-coffee-universal-browser-bridge

## Description

Enables MCP-compatible AI agents to securely control Chrome tabs via a local bridge, with explicit per-tab sharing and human approval for consequential actions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lic9fz17a0)
- **Repository:** <https://github.com/code-x-coffee/universal-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": "code-x-coffee-universal-browser-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/code-x-coffee-universal-browser-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/code-x-coffee-universal-browser-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