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NetBox MCP Server

by netboxlabs

The NetBox MCP Server is a read-only Model Context Protocol server for NetBox. It enables interaction with NetBox data via LLMs that support MCP.

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What is NetBox MCP Server?

The NetBox MCP Server is a tool that allows Large Language Models (LLMs) to access and interact with data stored in NetBox, a network infrastructure automation platform, using the Model Context Protocol (MCP). It provides a read-only interface for querying NetBox data.

How to use NetBox MCP Server?

  1. Create a read-only API token in NetBox. 2. Install dependencies using uv add -r requirements.txt. 3. Verify the server can run using NETBOX_URL=https://netbox.example.com/ NETBOX_TOKEN=<your-api-token> uv run server.py. 4. Configure your LLM client with the MCP server details, including the command to run the server and environment variables for the NetBox URL and API token. 5. Use the provided tools within your LLM client to query NetBox data.

Key features of NetBox MCP Server

  • Read-only access to NetBox data

  • Integration with LLMs via MCP

  • Retrieval of NetBox core objects based on type and filters

  • Retrieval of specific NetBox objects by ID

  • Retrieval of change history records (audit trail)

Use cases of NetBox MCP Server

  • Querying network device information using natural language

  • Analyzing IPAM utilization with LLMs

  • Identifying specific types of network devices

  • Auditing configuration changes made to network infrastructure

  • Generating reports on network inventory and status

FAQ from NetBox MCP Server

What is MCP?

Model Context Protocol is a standard for enabling LLMs to interact with external data sources.

What data can I access?

Currently, the server supports access to core NetBox objects. Plugin object types are not supported.

What type of API token do I need?

A read-only API token with sufficient permissions to access the desired data is required.

What if I encounter issues?

Consult the MCP quickstart guide for detailed troubleshooting or open an issue on the GitHub repository.

Is this production ready?

This server is designed to enable LLMs to interact with your data, but use cases will vary. Please test thoroughly before relying on it in production.