Nautobot MCP
This Nautobot app integrates the MCP (Model Context Protocol) server with Nautobot, providing AI-ready tools and interfaces for network automation and management.
Overview
Nautobot MCP enables AI assistants or applications to interact with your network data through a standardized protocol. The app runs an MCP server alongside Nautobot that exposes tools which can be used by AI systems.
https://modelcontextprotocol.io/introduction
Demo using Librechat - Connected to Nautobot MCP
https://github.com/user-attachments/assets/283d68c2-d35f-4506-b909-45c1850e7281
Installation
1. Install the package
pip install nautobot-mcp
2. Add to INSTALLED_APPS in your Nautobot configuration
# In your nautobot_config.py
PLUGINS = [
"nautobot_mcp",
# ... other plugins
]
3. Configuration
Configure the app through Nautobot’s configuration system:
# In your nautobot_config.py
PLUGINS_CONFIG = {
"nautobot_mcp": {
"MCP_PORT": 8005, # MCP server port
"MCP_HOST": "0.0.0.0", # Default is 0.0.0.0
"MCP_CUSTOM_TOOLS_DIR": "/path/to/your/custom/tools", # Directory for custom tools
"MCP_LOAD_CORE_TOOLS": False, # Load built-in tools
},
}
4. Run nautobot post upgrade
nautobot-server post_upgrade
Custom Tools
You can create your own custom tools by defining Python functions in the directory specified in MCP_CUSTOM_TOOLS_DIR.
Example custom tool:
# In /path/to/your/custom/tools/my_tools.py
def some_tool(param1: str, param2: str) -> dict:
"""Some tool description"""
# Your implementation here
return {"result": f"Tool result for {param1} and {param2}"}
The MCP server will automatically discover and register all function-based tools in the specified directory.
Deployment Options
Method 1: Manual Start
You can start the MCP server manually:
nautobot-server start_mcp_server
Method 2: Systemd Service (Recommended for Production)
Create a systemd service file at /etc/systemd/system/nautobot-mcp.service:
[Unit]
Description=Nautobot MCP Server
After=network-online.target
Wants=network-online.target
[Service]
User=nautobot
Group=nautobot
WorkingDirectory=/opt/nautobot
ExecStart=/opt/nautobot/venv/bin/nautobot-server start_mcp_server
Restart=on-failure
RestartSec=30
PrivateTmp=true
[Install]
WantedBy=multi-user.target
Then enable and start the service:
sudo systemctl daemon-reload
sudo systemctl enable --now nautobot-mcp.service
Viewing Available Tools
You can view all registered tools in the Nautobot web interface at:
https://your-nautobot-server/plugins/nautobot-mcp/tools/
This page shows all available tools, their descriptions, module paths, and parameter specifications.
TODO
- [ ] Add a way to route tool execution to a specific Nautobot worker.
- [ ] Enhance the tool view in the Nautobot web interface to show tool usage statistics.
- [ ] Create a docker container to run the MCP server.
- [ ] Add tests.
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Nautobot MCP
Project Details
- gt732/nautobot-app-mcp
- Other
- Last Updated: 4/9/2025
Recomended MCP Servers
A flexible system for managing various types of sources (papers, books, webpages, etc.) and integrating them with knowledge...
An Anthropic MCP server (with OpenAI Function calling compatibility) for the Coingecko Pro API
Query OpenAI models directly from Claude using MCP protocol.
mcp-1panel is an implementation of the Model Context Protocol (MCP) server for 1Panel.
Lightweight MCP server to give your Cursor Agent access to the Cloudflare API.
A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
Unity Catalog AI Model Context Protocol Server
A full implementation of Ethers as an AI tool for the model context protocol
This repository contains the source code for a confluence context server, it provides prompts that can be used...





