# cloak-auth-bridge

> cloak-auth-bridge — inorilzy-cloak-auth-bridge. Use this tool when you need to securely bridge authenticated sessions between a Chrome extension and CloakBrowser profiles, enabling seamless syncing, verification, and debugging of persistent login states without exposing sensitive credentials. It takes in authenticated sessions from the Chrome extension and outputs verified login states to CloakBrowser profiles via a local WebSocket interface. Ideal for use cases requiring secure authentication and credential management, such as debugging and testing of login workflows.

Canonical page: https://skillsregistry.net/skills/inorilzy-cloak-auth-bridge  
JSON: https://api.skillsregistry.net/v1/skills/inorilzy-cloak-auth-bridge

## Description

MCP server that bridges authenticated sessions from a Chrome extension to CloakBrowser profiles via local WebSocket, enabling agents to sync, verify, and debug persistent login state without exposing raw credentials.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uti7okle3a)
- **Repository:** <https://github.com/inorilzy/cloak-browser-auth>

## 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": "inorilzy-cloak-auth-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inorilzy-cloak-auth-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inorilzy-cloak-auth-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