# nexus

> nexus — siva-nagendra-nexus. Use this tool when you need to integrate autonomous AI agents into your Unreal Engine project, leveraging native scene state awareness and persistent learning for enhanced gameplay. The nexus tool solves problems related to dynamic scene interaction, adaptive AI behavior, and continuous learning, making it ideal for game development and simulation applications. It accepts scene data and AI parameters as inputs and outputs optimized AI agent behaviors, suitable for use in game development, robotics, and interactive simulation contexts.

Canonical page: https://skillsregistry.net/skills/siva-nagendra-nexus  
JSON: https://api.skillsregistry.net/v1/skills/siva-nagendra-nexus

## Description

In-game MCP server for Unreal Engine with autonomous AI agents, native scene state awareness, and persistent learning.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **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/siva-nagendra/nexus)

## 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": "siva-nagendra-nexus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siva-nagendra-nexus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siva-nagendra-nexus/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