# mcp-aoai-web-browsing

> mcp-aoai-web-browsing — kimtth-mcp-aoai-web-browsing. Use this tool when you need to automate web browsing tasks with AI-driven decision making, leveraging Azure OpenAI for intelligent interactions and Playwright for seamless browser control. It solves problems related to automating web-based workflows, data extraction, and testing, by providing a minimal server/client architecture. Ideal for use cases requiring automated web navigation, form filling, and scraping, with inputs including web page URLs and AI model prompts, and outputs such as extracted data and browser screenshots.

Canonical page: https://skillsregistry.net/skills/kimtth-mcp-aoai-web-browsing  
JSON: https://api.skillsregistry.net/v1/skills/kimtth-mcp-aoai-web-browsing

## Description

A minimal Model Context Protocol 🖥️ server/client🧑‍💻with OpenAI and 🌐 web browser control via Playwright.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kimtth/mcp-aoai-web-browsing)

## 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": "kimtth-mcp-aoai-web-browsing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kimtth-mcp-aoai-web-browsing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kimtth-mcp-aoai-web-browsing/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