Integration Assistant MCP Server

Overview

The Integration Assistant MCP server exposes tools that walk your AI assistant through integrating the ByteBrew Unity SDK. Once connected, you can prompt your assistant with questions like "add ByteBrew to my Unity project" or "how do I track a custom event with ByteBrew?" and it will pull the correct, up-to-date integration steps.

Server Details

The Integration Assistant is a remote MCP server over Streamable HTTP. There is nothing to install or run locally. Point your tool at the server URL below.

Claude Code

Add the server with the claude mcp add command using the HTTP transport:

claude mcp add --transport http bytebrew-integration-assistant https://docs.bytebrew.io/mcp

Or add it to a project's .mcp.json file to share it with your team:

{
  "mcpServers": {
    "bytebrew-integration-assistant": {
      "type": "http",
      "url": "https://docs.bytebrew.io/mcp"
    }
  }
}

Run /mcp inside Claude Code to confirm the bytebrew-integration-assistant server is connected.

Cursor

Add the server to ~/.cursor/mcp.json (global) or .cursor/mcp.json in your project root. Cursor uses the url field for remote Streamable HTTP servers:

{
  "mcpServers": {
    "bytebrew-integration-assistant": {
      "url": "https://docs.bytebrew.io/mcp"
    }
  }
}

Then open Settings → MCP & Integrations and verify bytebrew-integration-assistant shows a green status with its tools listed.

OpenAI Codex

Use the Codex CLI to register the remote server:

codex mcp add bytebrew-integration-assistant --url https://docs.bytebrew.io/mcp

This writes an entry to ~/.codex/config.toml. You can also add it directly:

[mcp_servers.bytebrew-integration-assistant]
url = "https://docs.bytebrew.io/mcp"

Start a Codex session and run /mcp to confirm the server is connected and its tools are listed.

Google Antigravity

In Antigravity, open Settings → Customizations and click Open MCP Config to edit mcp_config.json. Antigravity uses the serverUrl field for remote servers:

{
  "mcpServers": {
    "bytebrew-integration-assistant": {
      "serverUrl": "https://docs.bytebrew.io/mcp"
    }
  }
}

Save the file, then open the MCP Servers panel and refresh to load the bytebrew-integration-assistant tools.

Cursor Agent (CLI)

The cursor-agent CLI automatically discovers the same mcp.json configuration used by the Cursor editor. Add the server to ~/.cursor/mcp.json or your project's .cursor/mcp.json:

{
  "mcpServers": {
    "bytebrew-integration-assistant": {
      "url": "https://docs.bytebrew.io/mcp"
    }
  }
}

In an interactive cursor-agent session, enable the server with the slash command:

/mcp enable bytebrew-integration-assistant

Gemini CLI

Add the server to your Gemini CLI settings.json (global at ~/.gemini/settings.json or project-scoped at .gemini/settings.json). Gemini CLI uses the httpUrl field for Streamable HTTP servers:

{
  "mcpServers": {
    "bytebrew-integration-assistant": {
      "httpUrl": "https://docs.bytebrew.io/mcp"
    }
  }
}

Launch gemini and run the /mcp command to list the discovered server and its tools.

JetBrains AI Assistant

In your JetBrains IDE, go to Settings → Tools → AI Assistant → Model Context Protocol (MCP) and click Add. Choose As JSON and paste the following. AI Assistant connects to remote servers over Streamable HTTP using the url field:

{
  "mcpServers": {
    "bytebrew-integration-assistant": {
      "url": "https://docs.bytebrew.io/mcp"
    }
  }
}

Apply the settings. The assistant's tools appear in the MCP section once the connection succeeds.

Visual Studio Code

Create a .vscode/mcp.json file in your workspace. VS Code uses the servers root key and requires "type": "http" for remote servers:

{
  "servers": {
    "bytebrew-integration-assistant": {
      "type": "http",
      "url": "https://docs.bytebrew.io/mcp"
    }
  }
}

You can also add it from the command line:

code --add-mcp '{"name":"bytebrew-integration-assistant","type":"http","url":"https://docs.bytebrew.io/mcp"}'

Using the Assistant

After connecting the server, prompt your AI assistant with integration tasks in natural language. The assistant calls the Integration Assistant tools to retrieve the correct ByteBrew Unity steps and applies them to your project. Use prompts such as:

FAQs