# sitebox

> sitebox — zarguell-sitebox. Use this tool when you need to manage static web pages for AI agents, solving problems such as dynamic content updates and data exchange. It provides a REST API interface for uploading, listing, reading, and deleting web pages, with optional authentication and time-to-live (TTL) settings. Ideal for use cases requiring seamless integration of web content with AI models, enabling efficient data sharing and retrieval.

Canonical page: https://skillsregistry.net/skills/zarguell-sitebox  
JSON: https://api.skillsregistry.net/v1/skills/zarguell-sitebox

## Description

Enables AI agents to upload, list, read, and delete static web pages via the Model Context Protocol, with REST API and optional authentication and TTL.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gtwf94huuz)
- **Repository:** <https://github.com/zarguell/sitebox>

## 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": "zarguell-sitebox"
    }
  }
}
```

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