# agent-portal

> agent-portal — magnexis-agent-portal. Use this tool when you need to provide AI agents with a controlled visual workspace to interact with real user interfaces, applications, and development environments. It solves problems of limited code generation by allowing agents to understand, navigate, and test complex systems, and accepts inputs from local applications, browser sessions, and git repositories. Agent Portal is ideal for use cases requiring AI agents to engage with dynamic, interactive environments beyond code generation.

Canonical page: https://skillsregistry.net/skills/magnexis-agent-portal  
JSON: https://api.skillsregistry.net/v1/skills/magnexis-agent-portal

## Description

Agent Portal is a desktop-native operating environment for AI agents.  Instead of limiting an LLM to code generation, Agent Portal gives it a controlled visual workspace where it can understand, navigate, test, and interact with real user interfaces, local applications, browser sessions, development environments, and project ecosystems.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Magnexis/agent-portal)

## 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": "magnexis-agent-portal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/magnexis-agent-portal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/magnexis-agent-portal/pull`

---
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
