MCP Dc
The NetBox MCP server development environment configured by GitHub Codespaces, including a complete development toolchain and simulated services
2 points
10.5K

What is NetBox MCP Server?

NetBox MCP Server is a server based on the Model Context Protocol (MCP) standard, specifically designed to integrate with the NetBox network infrastructure management platform. It allows AI assistants and applications to access and manage network resources such as network devices, IP addresses, and virtual circuits through the standardized MCP protocol.

How to use NetBox MCP Server?

The complete development environment can be quickly launched through GitHub Codespaces. The system will automatically configure all necessary services, including the simulated NetBox API server, Vault key manager, and PostgreSQL database. Users can directly start developing or testing MCP tool functions.

Applicable scenarios

Suitable for scenarios such as network automation, infrastructure management, DevOps workflows, and AI assistant integration. Especially suitable for application development that requires real - time access to network configuration data and device information.

Main features

Deep NetBox integration
Fully integrated with the NetBox API, supporting core functions such as device management, IP address management, and virtual circuits
State confidence management
Maintain the confidence of operation states through the PostgreSQL database to ensure data consistency
Vault key management
Integrated with HashiCorp Vault for secure key and credential management
Codespaces ready
Pre - configured GitHub Codespaces development environment, start the complete development stack with one click
MCP standard compatible
Fully compliant with the Model Context Protocol standard and can be integrated with any MCP client
Advantages
Out - of - the - box development environment without complex configuration
Complete simulated service stack supporting offline development
Standardized MCP protocol, easy to integrate with other tools
Powerful network infrastructure management capabilities
Secure key management and status tracking
Limitations
Requires basic knowledge of network management
Depends on a specific version of the NetBox API
Additional security configuration is required for the production environment
Some advanced features require a NetBox enterprise - edition license

How to use

Start the Codespaces environment
Click the 'Code' button on the GitHub repository page, select 'Codespaces' → 'Create codespace on main'
Wait for the environment to initialize
The system will automatically set up the Python environment, Docker service, and other dependent components, which takes about 2 - 3 minutes
Verify the service status
Check if all development services are running normally, including NetBox Mock, Vault Mock, and the database
Start development or testing
Use the provided test scripts to verify functions or start developing new MCP tools

Usage examples

Network device inventory query
Query all devices and their status information in the current network
IP address management
Find available IP addresses or check the allocation status of specific IPs
Virtual circuit configuration
Create or query virtual circuit connections between sites

Frequently Asked Questions

What should I do if the service cannot be accessed after the Codespaces environment is started?
How to solve the database connection failure?
How to debug when the test fails to run?
How to add a new MCP tool?
What should be noted when deploying in the production environment?

Related resources

MCP official documentation
Complete technical specifications and API references for the Model Context Protocol
NetBox documentation
Official documentation for the NetBox network infrastructure management platform
HashiCorp Vault documentation
Complete documentation for Vault key management and security services
PostgreSQL documentation
Official documentation and reference guides for the PostgreSQL database
GitHub Codespaces documentation
Complete usage guide for the GitHub Codespaces cloud development environment

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
16.0K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
7.8K
4 points
P
Paperbanana
Python
9.1K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.0K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
38.2K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.1K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.7K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
71.0K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
25.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.6K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase