# OPC UA

> Use this tool when you need to integrate industrial automation systems with AI assistants, enabling monitoring and control of OPC UA-enabled devices through a standardized interface. It solves problems of data accessibility and device management by exposing data points and handling connection lifecycles. Ideal for industrial automation engineers and system integrators, it provides inputs for reading and writing node values and outputs for device control and monitoring.

Canonical page: https://skillsregistry.net/skills/kukapay-opcua  
JSON: https://api.skillsregistry.net/v1/skills/kukapay-opcua

## Description

OPC UA MCP server that connects to industrial automation systems and exposes their data points through a standardized interface. Built with FastMCP and asyncua, it provides tools for reading and writing OPC UA node values while handling connection lifecycle management. Particularly valuable for industrial automation engineers and system integrators who need to monitor and control OPC UA-enabled devices through AI assistants.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kukapay-opcua)
- **Repository:** <https://github.com/kukapay/opcua-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": "kukapay-opcua"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kukapay-opcua` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kukapay-opcua/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