# agentview

> Use this tool when you need to manage and control digital signage displays through natural language, sending HTML or live URLs to screens, and orchestrating organizations and team members. It solves problems such as content distribution, display management, and team collaboration, with inputs including HTML, URLs, and natural language commands, and outputs including rendered displays and organized teams. Use agentView in contexts where you need to create and manage premium digital signage experiences, allocate licenses, and assign grants to team members.

Canonical page: https://skillsregistry.net/skills/rafaelkocurek-nvob-agentview  
JSON: https://api.skillsregistry.net/v1/skills/rafaelkocurek-nvob-agentview

## Description

# agentView

Premium digital signage control plane for AI agents. Create and manage displays, send HTML or live URLs to any screen, allocate licenses, and orchestrate organizations and team members — all through natural language.

## What you can do

- **Send content to any display**: `send_html` for rich cinematic layouts, `send_url` for live web pages, `clear_display` to reset
- **Pair new screens instantly**: open [display.agentview.de](https://display.agentview.de) on any TV or browser, read the 6-character code, call `pair_by_code`, and the display is live
- **Manage fleets**: create organizations, invite members, allocate licenses, assign grants, lock displays
- **Design cinematic content**: the `render_premium_display_html` prompt plus the `agentview://public/design-system` resource give you a full signage design system — glassmorphism panels, fluid typography, public-API integrations, no API keys needed

## Authentication

Connect with **OAuth 2.1 + PKCE** (with Dynamic Client Registration). No API keys to paste — Smithery handles the browser handshake automatically, then your agent gets scoped access tokens for the duration of the session.

## Learn more

- Homepage: [agentview.de](https://agentview.de)
- Setup guide for AI agents: [agentview.de/agent-instructions](https://agentview.de/agent-instructions)
- Developer docs: [agentview.de/developers.html](https://agentview.de/developers.html)

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/rafaelkocurek-nvob/agentview)

## 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": "rafaelkocurek-nvob-agentview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rafaelkocurek-nvob-agentview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rafaelkocurek-nvob-agentview/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