# BrowserCard-AI-Broker

> Use this tool when you need to integrate AI capabilities with web-based interfaces, enabling large language models (LLMs) to interact with and control browser-based applications in real-time. It solves problems related to dynamic web content generation, automated browser testing, and AI-driven web interface inspection. The BrowserCard-AI-Broker takes LLM inputs and outputs controlled browser actions, making it ideal for use cases requiring seamless AI-browser interaction.

Canonical page: https://skillsregistry.net/skills/rozek-browsercard-ai-broker  
JSON: https://api.skillsregistry.net/v1/skills/rozek-browsercard-ai-broker

## Description

An MCP server that lets an LLM build, inspect and drive a running BrowserCard deck live in the browser.

## 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/qzcyp2wt04)
- **Repository:** <https://github.com/rozek/browsercard-ai-broker>

## 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": "rozek-browsercard-ai-broker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rozek-browsercard-ai-broker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rozek-browsercard-ai-broker/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