# aiwebhelper

> aiwebhelper — unilab-hq-aiwebhelper. Use this tool when you need to collaborate with an AI on a web page, enabling it to interact with and manipulate the page in real-time. The aiwebhelper tool solves problems of automated web browsing, data extraction, and user-AI collaboration, accepting user input through Alt+click targets and outputting AI-driven actions on the live page. It is ideal for use cases requiring AI-assisted web navigation, form filling, or data inspection, providing a local and secure bridge between the user's browser and the AI client.

Canonical page: https://skillsregistry.net/skills/unilab-hq-aiwebhelper  
JSON: https://api.skillsregistry.net/v1/skills/unilab-hq-aiwebhelper

## Description

Lets an AI share the same live browser tab as a person, receiving the user's Alt+click target and enabling the AI to inspect, click, fill, type, navigate, or otherwise operate on that real page. It runs locally and pairs with the browser extension to bridge the user's page to the MCP client.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f5tfj74l7f)
- **Repository:** <https://github.com/unilab-hq/AIWebHelper>

## 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": "unilab-hq-aiwebhelper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/unilab-hq-aiwebhelper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/unilab-hq-aiwebhelper/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