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OLVM AIops MCP Server

local only

OLVM AIops runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 17 Sep 2026.

Governed OLVM / oVirt 4.5 ops — 17 MCP tools: inventory, health, capacity, diagnosis; audited.

Installs / week
pypi · olvm-aiops
0
Stars
1 open issues
17 Sep 2026
Last commit
no recent releases
MIT
License
Python

Nothing serious here today

Today is the operative word: we check OLVM AIops every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

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 olvm-aiops -- uvx olvm-aiops
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "olvm-aiops": {
      "args": [
        "olvm-aiops"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.olvm-aiops]
command = "uvx"
args = ["olvm-aiops"]
.cursor/mcp.json
{
  "mcpServers": {
    "olvm-aiops": {
      "args": [
        "olvm-aiops"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "olvm-aiops": {
      "args": [
        "olvm-aiops"
      ],
      "command": "uvx"
    }
  }
}

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OLVM AIops — questions

Answers built from our own checks of this server.

Why is there no uptime for OLVM AIops?
OLVM 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 olvm-aiops.
How do I connect OLVM AIops?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls olvm-aiops straight from pypi; nothing to host, nothing to sign up for.
Is OLVM AIops open source?
Yes — it is published under the MIT licence, written in Python, 0 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.