pulsemcp Safe content atomic mcp-remote

Nautobot Network Infrastructure

Nautobot MCP integrates the Model Context Protocol server with Nautobot, a network infrastructure management platform, enabling AI assistants to query and interact with network data through standardized tools. Developed by Geury Torres, this Django-based app provides tools for retrieving information about devices, interfaces, circuits, IP addresses, and locations stored in Nautobot. The server exposes these capabilities through a RESTful API that follows the MCP specification, making it ideal for network engineers and administrators who want to leverage AI to automate network documentation, troubleshooting, and management tasks.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: maps-location
Source: PulseMCP
Repository: github.com/gt732/nautobot-app-mcp
Author type: human
Updated: 2026-05-22

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MCP

Resolve Nautobot Network Infrastructure from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"