# io.github.AIops-tools/network-aiops

> Use this tool when you need to manage and automate multi-vendor network device operations, such as configuration management and read-only queries, to streamline network administration and troubleshooting. It solves problems related to network device configuration inconsistencies and limited visibility into network state. The tool takes network device information as input and outputs configuration changes, device facts, and query results, making it ideal for use cases involving network automation and governance.

Canonical page: https://skillsregistry.net/skills/aiops-tools-network-aiops  
JSON: https://api.skillsregistry.net/v1/skills/aiops-tools-network-aiops

## Description

Provides MCP tools for governed multi-vendor network device operations, including configuration management (backup, diff, merge, replace, rollback) and read-only queries (facts, interfaces, BGP, LLDP, ARP) via NAPALM, with optional NetBox source-of-truth integration.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rczqkgzc3l)
- **Repository:** <https://github.com/AIops-tools/Network-AIops>

## 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": "aiops-tools-network-aiops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiops-tools-network-aiops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiops-tools-network-aiops/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