AgentQL + Goose: Complete MCP Integration
AgentQL is a MCP server that Enable AI agents to get structured data from unstructured web with AgentQL..
When integrated with Goose, you can:
- Extract structured data from web pages using natural language
- Scrape web data with structured field definitions
- Monitor web pages for content changes
This guide provides step-by-step instructions to set up AgentQL in Goose, including configuration, examples, and troubleshooting.
What You'll Achieve
After completing this setup:
- AgentQL will be fully integrated and operational
- You can use AgentQL tools directly in Goose
- All AgentQL capabilities will be available for your workflows
- Access to 3 different tools
Prerequisites
Before starting, ensure you have:
- API key from AgentQL Dev Portal
- Goose installed and configured
- Compatible operating system (Python, Cross-platform, IDE Integration)
Installation
Step 1: Install AgentQL
Configuration
Step 2: Configure Goose
- Open Goose settings
- Navigate to MCP server configuration
- Add AgentQL server with appropriate settings
- Save and restart if needed
Examples
Once configured, you can use AgentQL in Goose:
E-commerce Product Monitoring
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Ask Goose: "Extract product details from Amazon search results"
Expected Result: undefined
News Article Analysis
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Ask Goose: "Get headlines, summaries, and publish dates from news site"
Expected Result: undefined
Social Media Insights
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Ask Goose: "Extract post engagement from social media feeds"
Expected Result: undefined
Testing Your Setup
- Launch Goose
- Verify AgentQL is available in the tools list
- Test basic AgentQL 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
AgentQL not appearing in Goose
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check AgentQL installation
- Restart Goose
- Check logs for error messages
Next Steps
Now that AgentQL is integrated with Goose:
- Explore all AgentQL capabilities through Goose
- Check out other MCP servers that work with Goose
- Join the MCP community for tips and support
- Consider contributing to AgentQL development
Need Help?
- Search for AgentQL documentation
- Check the Goose MCP guide
- Join the MCP community discussions