# agentView

> Use this tool when you need to visualize and display data to users, such as dashboards, reports, and live updates, and push HTML content to screens. AgentView solves the problem of presenting complex AI-driven data in a user-friendly format, making it ideal for use cases like real-time monitoring and decision-making. It accepts HTML, dashboard, and live data inputs and outputs visual displays on screens.

Canonical page: https://skillsregistry.net/skills/de-agentview-agentview-mcp  
JSON: https://api.skillsregistry.net/v1/skills/de-agentview-agentview-mcp

## Description

Display delivery platform for AI agents. Push HTML, dashboards and live data to screens.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/de.agentview%2Fagentview-mcp)

## Use it

MCP endpoint published by the skill: `https://agentview.de/mcp`

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": "de-agentview-agentview-mcp"
    }
  }
}
```

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