# WinCC Unified MCP Server

> Use this tool when you need to integrate AI-powered solutions with SIEMENS WinCC Unified SCADA systems, enabling automated interactions and data exchange through GraphQL API. It solves problems related to industrial automation, IoT data management, and real-time monitoring by providing a unified interface for reading and writing tag values, browsing objects, and querying historical data. Ideal for use cases requiring seamless communication between AI agents and SCADA systems, such as predictive maintenance, anomaly detection, and process optimization.

Canonical page: https://skillsregistry.net/skills/vogler75-winccua-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vogler75-winccua-mcp-server

## Description

Enables AI assistants to interact with SIEMENS WinCC Unified SCADA systems through their GraphQL API, supporting operations like reading/writing tag values, browsing objects, querying historical data, and managing alarms.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wg32kil71w)
- **Repository:** <https://github.com/vogler75/winccua-mcp-server>

## 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": "vogler75-winccua-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vogler75-winccua-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vogler75-winccua-mcp-server/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