# Genius Automation MCP Server

> Genius Automation MCP Server — kgpgit-genius-automation-community. Use this tool when you need to integrate AI agents with Siemens TIA Portal for industrial automation, enabling tasks such as reading PLC tags, inspecting project structures, and compiling projects. It provides a controlled interface for AI agents to connect and retrieve data, solving problems related to automation and data exchange. The Genius Automation MCP Server offers read-only tools with a simple interface, ideal for use cases requiring seamless interaction between AI systems and Siemens TIA Portal.

Canonical page: https://skillsregistry.net/skills/kgpgit-genius-automation-community  
JSON: https://api.skillsregistry.net/v1/skills/kgpgit-genius-automation-community

## Description

An MCP server for controlling Siemens TIA Portal, enabling AI agents to connect, read PLC tags, list blocks, inspect project structure, and compile projects. This community edition provides 5 read-only tools under the MIT license.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/key7r5x50r)
- **Repository:** <https://github.com/kgpgit/genius-automation-community>

## 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": "kgpgit-genius-automation-community"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kgpgit-genius-automation-community` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kgpgit-genius-automation-community/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
