# Nautobot MCP Server v2

> Use this tool when you need to integrate NetClaw with Nautobot for enhanced network management, providing features like GraphQL reads and REST writes to manage devices, interfaces, and IP addresses. It solves problems related to network configuration and inventory management, offering tools for live-vs-SoT reconciliation and ITSM-gated changes. This tool is ideal for use cases requiring automated network updates and synchronization, with inputs including GraphQL queries and REST API calls, and outputs including updated network configurations and inventory data.

Canonical page: https://skillsregistry.net/skills/byrn-baker-nautobot-mcp-v2  
JSON: https://api.skillsregistry.net/v1/skills/byrn-baker-nautobot-mcp-v2

## Description

Enhanced Nautobot 3.1.0 integration for NetClaw with GraphQL reads, REST writes, ITSM-gated changes, and live-vs-SoT reconciliation. Provides 13 tools covering devices, interfaces, VLANs, prefixes, IP addresses, cables, raw GraphQL, write operations, and reconciliation.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jkiw9pxf5w)
- **Repository:** <https://github.com/byrn-baker/nautobot-mcp-v2>

## 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": "byrn-baker-nautobot-mcp-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/byrn-baker-nautobot-mcp-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/byrn-baker-nautobot-mcp-v2/pull`

---
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