Device42 MCP
D

Device42 MCP

The Device42 MCP Server is an MCP server implementation for the Device42 IT asset management system. It supports querying and managing asset information such as devices, IP addresses, subnets, and racks through AI assistants, and provides read - write operations and advanced DOQL query functions.
2 points
5.6K

What is the Device42 MCP Server?

The Device42 MCP Server is a bridge that connects AI assistants (such as Claude, Cursor AI) with the Device42 IT asset management platform. It allows you to query and manage your IT infrastructure data through natural language, and you can obtain key data such as device information, network configuration, and rack layout without logging in to the Device42 console.

How to use the Device42 MCP Server?

Just add a few lines of configuration to your AI assistant's configuration file, and you can start using it immediately. It supports multiple deployment methods: running directly via npx, running in a Docker container, or installing globally. After the configuration is completed, you can directly ask questions to the AI assistant, and it will obtain real - time data from Device42 through the MCP server.

Use cases

It is suitable for IT administrators, operation and maintenance engineers, network engineers, and teams that need to quickly access IT asset information. It is particularly suitable for scenarios such as quickly finding device information, network planning, troubleshooting, asset auditing, and capacity planning.

Main features

Run without installation
There is no need to install any software. You can run it directly through the npx command, which simplifies the deployment process.
Fast response
It uses the native fetch API without relying on heavy - weight HTTP libraries to ensure fast data retrieval.
Type - safe
It is fully developed using TypeScript, providing complete type checking and auto - completion support.
Minimal dependencies
It only depends on two core libraries, @modelcontextprotocol/sdk and zod, to keep it lightweight.
Support for read - write modes
It supports both read - only and read - write modes, and you can easily switch between them through environment variables to ensure data security.
Support for DOQL queries
It supports the Device42 object query language, allowing complex cross - table queries and data analysis to be performed.
Advantages
There is no need to learn the Device42 interface. You can query data through natural language.
It supports multiple deployment methods to meet the needs of different environments.
It provides complete read - only/read - write permission control to ensure data security.
It supports complex DOQL queries to meet the needs of advanced data analysis.
It is seamlessly integrated with mainstream AI assistants (Claude, Cursor).
Limitations
You need Device42 API access rights and a valid license.
Complex queries may require some knowledge of the Device42 data structure.
Some advanced features require support from a specific version of the Device42 API.

How to use

Get Device42 API credentials
Log in to your Device42 instance, create or obtain an API username and password. Ensure that the account has appropriate access rights.
Select a deployment method
Select a suitable deployment method according to your environment: run directly via npx, in a Docker container, or install globally.
Configure the AI assistant
Add the MCP server configuration to the configuration file of Cursor or Claude Desktop and set environment variables.
Restart the AI assistant
Restart your AI assistant application for the configuration to take effect.
Start querying
Enter natural language questions in the AI assistant to start querying Device42 data.

Usage examples

Device search and location
Quickly find information about specific devices, including location, configuration, and status.
Network planning and auditing
Query network configuration information for IP address management and subnet planning.
Asset statistics and reporting
Generate device statistics reports, classified by operating system, location, or type.
Complex data analysis
Use DOQL for cross - table queries and complex data analysis.

Frequently Asked Questions

Do I need to purchase a Device42 license to use this MCP server?
Which AI assistants does this MCP server support?
Is the data read - only? Can I modify the data in Device42?
What is DOQL? Do I need to learn it?
What if my Device42 instance uses a self - signed SSL certificate?
Which Device42 versions does this MCP server support?

Related resources

Device42 official documentation
The complete official documentation for Device42, including API references and DOQL guides
MCP protocol specification
The official specification document for the Model Context Protocol
GitHub repository
The source code and issue tracking for the Device42 MCP Server
npm package page
Package information and version history on npm
Docker image
The container image on Docker Hub

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "device42": {
      "command": "npx",
      "args": ["-y", "device42-mcp"],
      "env": {
        "D42_URL": "https://your-device42.com",
        "D42_USERNAME": "api-user",
        "D42_PASSWORD": "api-password",
        "D42_VERIFY_SSL": "true",
        "D42_READONLY": "true"
      }
    }
  }
}

{
  "mcpServers": {
    "device42": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "D42_URL=https://your-device42.com",
        "-e", "D42_USERNAME=api-user",
        "-e", "D42_PASSWORD=api-password",
        "-e", "D42_VERIFY_SSL=true",
        "-e", "D42_READONLY=true",
        "killcity/device42-mcp:latest"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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