AgentQL + BoltAI: Complete MCP Integration
AgentQL is a MCP server that Enable AI agents to get structured data from unstructured web with AgentQL..
When integrated with BoltAI, 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 BoltAI, 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 BoltAI
- 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
- BoltAI installed and configured
- Compatible operating system (macOS)
Installation
Step 1: Install AgentQL
Configuration
Step 2: Configure BoltAI
- Open BoltAI 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 BoltAI:
E-commerce Product Monitoring
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Ask BoltAI: "Extract product details from Amazon search results"
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News Article Analysis
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Ask BoltAI: "Get headlines, summaries, and publish dates from news site"
Expected Result: undefined
Social Media Insights
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Ask BoltAI: "Extract post engagement from social media feeds"
Expected Result: undefined
Testing Your Setup
- Launch BoltAI
- Verify AgentQL is available in the tools list
- Test basic AgentQL functionality
Troubleshooting
Common Issues
Installation Failed
Symptoms: Download errors, Installation not completing
Cause: macOS security settings or corrupted download
Solution:
- Check macOS security preferences allow app installation
- Re-download installer from official website
- Try installing via Homebrew as alternative
- Ensure sufficient disk space and admin permissions
MCP Server Not Found
Symptoms: Server command not found, Path errors
Cause: Server not installed or not in PATH
Solution:
- Verify MCP server installation using Terminal
- Use absolute path to server executable
- Check server executable permissions (chmod +x)
- Test server command from Terminal first
Connection Fails
Symptoms: Server status shows disconnected, Connection timeout
Cause: Server configuration or environment issues
Solution:
- Check server configuration parameters
- Verify environment variables are set correctly
- Restart BoltAI after configuration changes
- Check macOS firewall and security settings
Tools Not Available in Conversation
Symptoms: Server connected but tools not accessible, Limited functionality
Cause: Tool registration or permission issues
Solution:
- Verify server implements MCP protocol correctly
- Check BoltAI permissions for tool access
- Restart conversation or create new chat session
- Review server logs for tool registration errors
AgentQL not appearing in BoltAI
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check AgentQL installation
- Restart BoltAI
- Check logs for error messages
Next Steps
Now that AgentQL is integrated with BoltAI:
- Explore all AgentQL capabilities through BoltAI
- Check out other MCP servers that work with BoltAI
- Join the MCP community for tips and support
- Consider contributing to AgentQL development
Need Help?
- Search for AgentQL documentation
- Check the BoltAI MCP guide
- Join the MCP community discussions