Welcome to the Goose CLI integration guide. This guide will help you connect ByteRover with Goose CLI, enabling this multi-model AI assistant to remember your coding patterns and solutions.

​
What You’ll Need

  • Goose CLI installed
  • A ByteRover account

​
Getting Started

​
1. Start Connection

Go to your ByteRover dashboard:
  1. Click “Connect your agent”
  2. Select Goose CLI
  3. Hit “Connect with Goose CLI”

​
2. Connect ByteRover to Goose CLI

Step 1: Open Goose configure: 
goose configure
Step 2: Configure Byterover for Goose by following: What would you like to do? Answer: Add Extension What type of extension would you like to add? Answer: Remote Extension (Streaming HTTP) What would you like to call this extension? Answer: byterover-mcp What is the streaming HTTP endpoint URI? Answer: https://mcp.byterover.dev/v2/mcp Please set the timeout for this tool (in secs): Answer: 300 Would you like to add a description? Answer: No Would you like to add custom headers? Answer: Yes Header name: Answer: Authorization Header value: Answer: Bearer [DASHBOARD_TOKEN] Add another header? Answer: No Step 3: Connect to ByteRover Type goose to start Goose CLI and process authorization with ByteRover. Once authorization is complete, you will see the main Goose window.

​
Test Connection

Try this with Goose: 
Store this validation helper to ByteRover:

function validateRequired(obj, fields) {
  const missing = fields.filter(field => 
    obj[field] === undefined || obj[field] === null || obj[field] === ''
  );
  
  return {
    valid: missing.length === 0,
    missing: missing
  };
}
Goose should confirm storage to ByteRover.

​
Benefits

Join our Discord for Goose CLI support.