Workflow | Set up AI integration with Digi Remote Manager

Here is a step-by-step workflow you can follow to set up AI integration with Digi Remote Manager.

Action

Considerations

Confirm that you have a Digi Remote Manager account and the correct user permissions, you understand the requirements.

Outcome: Account is authorized to generate API credentials for MCPClosed Model Context Protocol server access.

Generate the API credentials in Digi Remote Manager.

Outcome: Secure credentials are available for authenticating an AI assistant or AI agent.

Prepare the AI client environment.

Depending on the AI client being used:

  • Install Node.js v18 or later (required for MCP clients using mcp-remote).

  • Install or verify access to an MCP-compatible AI client, such as:

    • Claude Desktop

    • Claude Code

    • Cursor

    • A custom AI Agent framework with MCP support

Outcome: The local or hosted AI environment is MCP-capable.

Configure the MCP server connection. Validate tool discovery, and verify access with a test query.

Outcome: End-to-end MCP connectivity and authorization are confirmed.

Begin operational use.

Once verified, users can begin:

  • Issuing natural-language operational queries

  • Building AI agent workflows that invoke Digi Remote Manager tools

  • Automating monitoring, reporting, and triage tasks

  • Integrating Digi Remote Manager data into broader AI-driven operational systems

Outcome: AI-powered interaction with Digi Remote Manager is active and ready for production use.

Ongoing management and governance.

  • Rotate or revoke API keys as needed.

  • Monitor usage and permissions through Digi Remote Manager.

  • Create separate API keys for different users, agents, or environments (development vs. production).

Outcome: Secure, governed, and maintainable AI Assistant Integration over time.

By following this workflow, you can quickly and securely connect an AI assistant to Digi Remote Manager via an MCP server.