AgentQL + ChatMCP: Complete MCP Integration
AgentQL is a MCP server that Enable AI agents to get structured data from unstructured web with AgentQL..
When integrated with ChatMCP, 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 ChatMCP, 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 ChatMCP
- 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
- ChatMCP installed and configured
- Compatible operating system (Desktop, Mobile)
Installation
Step 1: Install AgentQL
Configuration
Step 2: Configure ChatMCP
- Open ChatMCP 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 ChatMCP:
E-commerce Product Monitoring
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Ask ChatMCP: "Extract product details from Amazon search results"
Expected Result: undefined
News Article Analysis
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Ask ChatMCP: "Get headlines, summaries, and publish dates from news site"
Expected Result: undefined
Social Media Insights
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Ask ChatMCP: "Extract post engagement from social media feeds"
Expected Result: undefined
Testing Your Setup
- Launch ChatMCP
- Verify AgentQL is available in the tools list
- Test basic AgentQL functionality
Troubleshooting
Common Issues
Server Installation Failed
Symptoms: Market install hangs or errors
Cause: Missing runtime dependencies (e.g., Python/uv or Node.js).
Solution:
- Ensure you have Python and Node.js installed on your system.
- Try installing the server manually via terminal to check for errors.
Tool Loop / Hallucination
Symptoms: Model repeatedly calls the same tool, Model claims to do something but fails
Cause: Context overload or weak model performance.
Solution:
- Switch to a more capable model (e.g., Claude 3.5 Sonnet or GPT-4o).
- Disable unused MCP servers to reduce context noise.
AgentQL not appearing in ChatMCP
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check AgentQL installation
- Restart ChatMCP
- Check logs for error messages
Next Steps
Now that AgentQL is integrated with ChatMCP:
- Explore all AgentQL capabilities through ChatMCP
- Check out other MCP servers that work with ChatMCP
- Join the MCP community for tips and support
- Consider contributing to AgentQL development
Need Help?
- Search for AgentQL documentation
- Check the ChatMCP MCP guide
- Join the MCP community discussions