> For the complete documentation index, see [llms.txt](https://docs.ionos.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ionos.com/cloud/ai/mcp-server/connect-to-an-ai-client/jetbrains.md).

# 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 [<mark style="color:blue;">JetBrains IDE</mark>](https://www.jetbrains.com/products/) version 2025.2 or later with the AI Assistant feature enabled
* The `ionoscloud-mcp` binary built and available. For more information, see [<mark style="color:blue;">Quick Start</mark>](/cloud/ai/mcp-server/quick-start.md)
* An <code class="expression">space.vars.ionos\_cloud\_api</code> token. For least-privilege access, see [<mark style="color:blue;">Authentication</mark>](/cloud/ai/mcp-server/configuration/authentication.md#token-scope-by-product-area) to scope the token to only the tools you need.

## Add the MCP server

{% stepper %}
{% step %}

### Open MCP server settings

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

{% step %}

### 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.
{% endstep %}

{% step %}

### Enable the server

Toggle the server to **Enabled** and select **OK**.
{% endstep %}
{% endstepper %}

## Verify the connection

{% hint style="warning" %}
**Important:** MCP tools are only available in **Agent** mode. They are not available in Chat mode.
{% endhint %}

Open an AI Assistant chat, switch to **Agent** mode, and type: *List my* <code class="expression">space.vars.ionos\_cloud</code> *data centers.*

{% hint style="success" %}
**Result:** The assistant calls `list_datacenters` and returns your data centers.
{% endhint %}

{% hint style="info" %}
**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 [<mark style="color:blue;">Selective Tool Loading</mark>](/cloud/ai/mcp-server/configuration/selective-tool-loading.md).
{% endhint %}

For full JetBrains MCP documentation, see [<mark style="color:blue;">Configure an MCP server</mark>](https://www.jetbrains.com/help/ai-assistant/configure-an-mcp-server.html) in the AI Assistant help.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.ionos.com/cloud/ai/mcp-server/connect-to-an-ai-client/jetbrains.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.