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Industrial-AIOps MCP Server

local only

Industrial-AIOps runs on your own machine — the client starts it, so there is no endpoint to ping. 552 installs a week from pypi. Last commit 1 Nov 2026.

Governed OT data tap: 15 field protocols + cross-protocol RCA brain; audit + MOC gating.

Installs per day peak 843 · avg 135 · -47% w/w
a month agotoday
552
Installs / week
pypi · iaiops
9
Stars
0 open issues
1 Nov 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 23 h ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

        proc = subprocess.run(  # nosec B603 — fixed argv, shell=False, no interpolation

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add iaiops -e 'IAIOPS_MCP=<IAIOPS_MCP>' -- uvx iaiops
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "iaiops": {
      "command": "uvx",
      "args": [
        "iaiops"
      ],
      "env": {
        "IAIOPS_MCP": "<IAIOPS_MCP>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.iaiops]
command = "uvx"
args = ["iaiops"]
env = { IAIOPS_MCP = "<IAIOPS_MCP>" }
.cursor/mcp.json
{
  "mcpServers": {
    "iaiops": {
      "command": "uvx",
      "args": [
        "iaiops"
      ],
      "env": {
        "IAIOPS_MCP": "<IAIOPS_MCP>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "iaiops": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "iaiops"
      ],
      "env": {
        "IAIOPS_MCP": "<IAIOPS_MCP>"
      }
    }
  }
}

Put your own value in place of <IAIOPS_MCP> (Tool-menu selection: comma-separated protocols or a named profile (e.g. 'fab', 'process', 'building', 'opcua,modbus'). No default since 0.10.0 — unset prints the selection menu and exits; set to a profile name (e.g. factory) or comma-list of protocols). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: IAIOPS_CONFIG (Path to the endpoints config YAML (default: ~/.iaiops/config.yaml)), IAIOPS_MASTER_PASSWORD (Master password unlocking the encrypted secret store (~/.iaiops/secrets.enc)), IAIOPS_NO_EGRESS (Set to 1 to withhold every data-shipping tool (message bus, external historian, remote LLM) from list_tools() at registration time, for an airgap/sealed-box deployment. This is a data-exfiltration axis only, not read/write authorisation — whether a write is allowed is the caller's decision, and every call (read or write) is audited. Gates MCP tools only — not a firewall).

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Industrial-AIOps — questions

Answers built from our own checks of this server.

Why is there no uptime for Industrial-AIOps?
Industrial-AIOps runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package iaiops was installed 552 times last week.
How do I connect Industrial-AIOps?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls iaiops straight from pypi; nothing to host, nothing to sign up for.
How many people use Industrial-AIOps?
The pypi package iaiops was installed 552 times in the last week. Week over week that is -47%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Industrial-AIOps open source?
Yes — it is published under the MIT licence, written in Python and 9 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.