# ReGenNexus UAP

> Use this tool when you need to integrate AI agents with various hardware devices and robots, solving problems of device control and secure communication in IoT and robotics applications. The ReGenNexus UAP enables seamless interaction between AI systems and devices like Raspberry Pi, Arduino, and robotic arms, supporting multiple transport layers and encryption methods. It is ideal for use cases requiring secure, device-to-device, and AI-to-hardware communication in mesh networks.

Canonical page: https://skillsregistry.net/skills/regennow-regennexus-uap  
JSON: https://api.skillsregistry.net/v1/skills/regennow-regennexus-uap

## Description

Universal Adapter Protocol enabling AI agents to control hardware devices and robots. Supports Raspberry Pi, Arduino, NVIDIA Jetson, ESP32, and robotic arms (Amber B1, Lucid One). Features mesh networking, auto-discovery, AES encryption, and multiple transport layers including IPC, UDP multicast, WebSocket, and message queues for secure device-to-device and AI-to-hardware communication.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/regennow-regennexus-uap)
- **Repository:** <https://github.com/regennow/regennexus>

## 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": "regennow-regennexus-uap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/regennow-regennexus-uap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/regennow-regennexus-uap/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