# dxpert.ai — industrial AI-readiness & UNS agents

> dxpert.ai — industrial AI-readiness & UNS agents — ai-dxpert-mcp. Use this tool when you need to assess and improve industrial AI-readiness, design and implement Unified Namespace (UNS) systems, and deploy UNS agents for enhanced MCP client capabilities. It solves problems related to AI adoption, data integration, and system optimization, providing diagnostics and implementation support. The tool takes in industrial systems and processes as input and outputs tailored UNS designs and agent deployments.

Canonical page: https://skillsregistry.net/skills/ai-dxpert-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-dxpert-mcp

## Description

Industrial AI-readiness diagnostics, UNS design, and UNS agents for MCP clients.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dxpert%2Fmcp)
- **Repository:** <https://github.com/dxpert-ai/dxpert-mcp>

## 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": "ai-dxpert-mcp"
    }
  }
}
```

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