beginner⏱️ 12-22 minutes📅 Updated June 2026

Step-by-step guide to integrate AgentQL MCP server with ChatMCP. Includes extract_data and scrape_structured.

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

  1. Open ChatMCP settings
  2. Navigate to MCP server configuration
  3. Add AgentQL server with appropriate settings
  4. 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

  1. Launch ChatMCP
  2. Verify AgentQL is available in the tools list
  3. 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?

Related Resources

More Integrations

Explore other MCP servers that work with ChatMCP

Need Help?

Join the MCP community for support and discussions

AgentQL + ChatMCP: MCP Setup Guide (2026)