mcpbeat

Network AIops MCP Server

io.github.AIops-tools/network-aiops
local only

Network AIops runs on your own machine — the client starts it, so there is no endpoint to ping. 908 installs a week from pypi. Last commit 3 Aug 2026.

Governed network device ops (NAPALM) — 33 MCP tools with audit/undo.

Installs per day peak 592 · avg 139 · -15% w/w
a month agotoday
908
Installs / week
pypi · network-aiops
0
Stars
0 open issues
3 Aug 2026
Last commit
0 releases in 90 days
MIT
License
Python

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

Network AIops — questions

Answers built from our own checks of this server.

Why is there no uptime for Network AIops?
Network 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 network-aiops was installed 908 times last week.
How do I connect Network 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 network-aiops straight from pypi; nothing to host, nothing to sign up for.
How many people use Network AIops?
The pypi package network-aiops was installed 908 times in the last week. Week over week that is -15%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Network AIops open source?
Yes — it is published under the MIT licence, written in Python and 0 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.