# webpilot

> Use this tool when you need to navigate and extract data from websites in a structured format, allowing LLM agents to interact with web pages as numbered elements. It solves problems of web data extraction and interaction for AI agents, providing a semantic terminal browser interface that takes website URLs as input and outputs structured data. Ideal for use cases where agents require web data extraction, navigation, or interaction, such as data mining, research, or automation tasks.

Canonical page: https://skillsregistry.net/skills/luckysolanki902-webpilot  
JSON: https://api.skillsregistry.net/v1/skills/luckysolanki902-webpilot

## Description

A semantic terminal browser that renders web pages as structured numbered elements for LLM agents via MCP, enabling agents to navigate, interact, and extract data from any website.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m06yqu8zb5)
- **Repository:** <https://github.com/luckysolanki902/webpilot>

## 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": "luckysolanki902-webpilot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luckysolanki902-webpilot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luckysolanki902-webpilot/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