# PLCs.ai

> PLCs.ai — ai-plcs-plcs-ai. Use this tool when you need to analyze and understand industrial control systems, specifically Allen-Bradley and Siemens PLC projects. It solves problems related to monitoring and troubleshooting PLCs by providing live tag values and analyses in plain English. The tool takes PLC project data as input and outputs easy-to-understand information, making it ideal for use in industrial automation and control system maintenance contexts.

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

## Description

Query Allen-Bradley and Siemens PLC projects, live tag values, and analyses in plain English.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

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

## Use it

MCP endpoint published by the skill: `https://mcp.plcs.ai/mcp`

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-plcs-plcs-ai"
    }
  }
}
```

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