beginner⏱️ 10-20 minutes📅 Updated June 2026

Step-by-step guide to integrate use_aws_mcp MCP server with Goose. Enhanced Goose functionality with use_aws_mcp integration.

use_aws_mcp + Goose: Complete MCP Integration

use_aws_mcp is a MCP server that amazon-q-cli's use_aws tool extracted into independent mcp, for general aws api usage..

When integrated with Goose, you can:

  • Access use_aws_mcp functionality through Goose

This guide provides step-by-step instructions to set up use_aws_mcp in Goose, including configuration, examples, and troubleshooting.

What You'll Achieve

After completing this setup:

  • use_aws_mcp will be fully integrated and operational
  • You can use use_aws_mcp tools directly in Goose
  • All use_aws_mcp capabilities will be available for your workflows

Prerequisites

Before starting, ensure you have:

  • Goose installed and configured
  • Compatible operating system (Python, Cross-platform, IDE Integration)

Installation

Step 1: Install use_aws_mcp

Configuration

Step 2: Configure Goose

  1. Open Goose settings
  2. Navigate to MCP server configuration
  3. Add use_aws_mcp server with appropriate settings
  4. Save and restart if needed

Examples

Once configured, you can use use_aws_mcp in Goose:

Testing Your Setup

  1. Launch Goose
  2. Verify use_aws_mcp is available in the tools list
  3. Test basic use_aws_mcp functionality

Troubleshooting

Common Issues

Goose Installation Failed

Symptoms: pip install errors, Missing dependencies

Cause: Python environment or dependency issues

Solution:

  • Verify Python 3.8+ is installed
  • Use virtual environment for clean installation
  • Install with pipx for isolated environment
  • Check for conflicting packages

Configuration Not Loading

Symptoms: Config errors, Settings not applied

Cause: YAML syntax or file location issues

Solution:

  • Verify YAML syntax in goose.yaml
  • Check configuration file location
  • Use goose config validate command
  • Review configuration documentation

MCP Server Not Starting

Symptoms: Server connection failed, Agent cannot access tools

Cause: Server installation or configuration problems

Solution:

  • Verify MCP server installation
  • Test server independently before Goose integration
  • Check server executable permissions
  • Review Goose logs for connection errors

IDE Automation Not Working

Symptoms: Agent not controlling IDE, Automation failures

Cause: IDE integration or permission issues

Solution:

  • Install required IDE plugins or extensions
  • Check IDE automation permissions
  • Verify IDE API access is enabled
  • Test with simpler automation tasks first

use_aws_mcp not appearing in Goose

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

  • Verify configuration syntax
  • Check use_aws_mcp installation
  • Restart Goose
  • Check logs for error messages

Next Steps

Now that use_aws_mcp is integrated with Goose:

  • Explore all use_aws_mcp capabilities through Goose
  • Check out other MCP servers that work with Goose
  • Join the MCP community for tips and support
  • Consider contributing to use_aws_mcp development

Need Help?

Related Resources

More Integrations

Explore other MCP servers that work with Goose

Need Help?

Join the MCP community for support and discussions

use_aws_mcp + Goose: MCP Setup Guide (2026)