# x402-industrial-mcp

> x402-industrial-mcp — xxbrucyjucyxx-x402-industrial-mcp. Use this tool when you need to integrate AI with industrial automation systems, providing direct access to PLC data, such as ladder logic and tag databases, to enable advanced analytics and fault diagnosis. It solves problems related to industrial automation, including data accessibility and root cause analysis. The tool accepts industrial automation data as input and outputs actionable insights, making it ideal for use cases involving predictive maintenance and process optimization.

Canonical page: https://skillsregistry.net/skills/xxbrucyjucyxx-x402-industrial-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xxbrucyjucyxx-x402-industrial-mcp

## Description

The first and only MCP server for PLC (Programmable Logic Controller) intelligence.
Give any AI agent direct access to industrial automation data — ladder logic, tag databases, cross-references, fault root cause analysis, and sequence blockers

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p7f87ac8wf)
- **Repository:** <https://github.com/xXbrucyjucyXx/x402-industrial-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": "xxbrucyjucyxx-x402-industrial-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xxbrucyjucyxx-x402-industrial-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xxbrucyjucyxx-x402-industrial-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