JetBrains IDEs

Connect JetBrains AI Assistant to One Horizon through MCP. AI Assistant can use assigned issues from tools like Jira or Linear while you code. When you finish work, it can summarize the result and add a completed task.

MCP support requires a JetBrains IDE (IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, RubyMine, GoLand, and others) version 2025.1 or later with AI Assistant enabled.

Connect AI Assistant

1. 1

   Open MCP settings

   1. In your JetBrains IDE, open Settings (or Preferences on macOS).
   2. Go to Tools → AI Assistant → Model Context Protocol (MCP).
2. 2

   Add One Horizon MCP server

   1. Choose the Add (+) button.
   2. Select As JSON.
   3. Paste the following configuration:

   {  "mcpServers": {    "onehorizon": {      "command": "npx",      "args": [        "mcp-remote@latest",        "https://mcp.onehorizon.ai/mcp"      ]    }  }}

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3. 3

   Set the scope

   In the Level column, choose Global for all projects or Project for only the current project.

4. 4

   Apply and connect

   1. Choose Apply to start the MCP server.
   2. Check the Status column to verify the connection is active.
   3. Choose OK to close the settings.

Activate in AI Assistant

Open AI Assistant and enable Codebase mode (toggle at the top of the chat window) so it can use MCP tools. On the first call, JetBrains opens a browser window to sign in and authorize the connection.

What you can ask AI Assistant

"show my assigned issues and todos for today"

AI Assistant pulls your in-flight issues from tools like Linear or Jira and summarizes them.

"use my assigned work details for the gateway API"

AI Assistant pulls those details into context so it writes code with the right scope and names.

"capture this as completed work"

AI Assistant summarizes what it wrote and adds a completed task.

You can also use the / command in chat to see available commands.

Security and permissions

The connector acts on your behalf. Data access follows your roles, workspace membership, and granted scopes.

Troubleshooting