# mcp-webgate

> mcp-webgate — lwandi624-mcp-webgate. Use this tool when you need to deliver clean and structured web content to AI agents, filtering out raw HTML noise and unnecessary data. It solves problems of web data extraction and preprocessing for AI model training and inference, taking in web pages and outputting bounded content. Ideal for use cases where AI agents require web data integration, such as text analysis or information retrieval tasks.

Canonical page: https://skillsregistry.net/skills/lwandi624-mcp-webgate  
JSON: https://api.skillsregistry.net/v1/skills/lwandi624-mcp-webgate

## Description

Deliver bounded web content to AI agents without raw HTML noise

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Lwandi624/mcp-webgate)

## 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": "lwandi624-mcp-webgate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lwandi624-mcp-webgate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lwandi624-mcp-webgate/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