JetBrains AI Assistant

JetBrains AI Assistant has native MCP client support built into all IntelliJ-platform IDEs (IntelliJ IDEA, PyCharm, WebStorm, GoLand, and others) since version 2025.2. No additional plugin is required.

Prerequisites

• Any JetBrains IDE version 2025.2 or later with the AI Assistant feature enabled
• The ionoscloud-mcp binary built and available. For more information, see Quick Start
• An IONOS CLOUD API token. For least-privilege access, see Authentication to scope the token to only the tools you need.

Add the MCP server

1

Open MCP server settings

In your IDE, go to Settings (⌘ + , on macOS, Ctrl + Alt + S on Windows/Linux) > AI Assistant > MCP Servers.

2

Add a new server

Select + (Add) and fill in:

• Name: ionoscloud
• Command: /usr/local/bin/ionoscloud-mcp
• Environment variables: Add IONOS_TOKEN with your API token value

To also enable Object Storage tools, add IONOS_S3_ACCESS_KEY and IONOS_S3_SECRET_KEY as additional environment variable entries.

3

Enable the server

Toggle the server to Enabled and select OK.

Verify the connection

Important: MCP tools are only available in Agent mode. They are not available in Chat mode.

Open an AI Assistant chat, switch to Agent mode, and type: List my IONOS CLOUD data centers.

Result: The assistant calls list_datacenters and returns your data centers.

Note: All tools are registered at startup by default, so Compute Engine and Object Storage tools appear immediately. To reduce the startup tool count, add IONOS_MCP_LOAD_MODE with value lazy as an additional environment variable in the server settings, then call the ionos_load_compute_tools or ionos_load_objectstorage_tools sentinels on demand. For more information, see Selective Tool Loading.

For full JetBrains MCP documentation, see Configure an MCP server in the AI Assistant help.