AgentQL + oterm: Complete MCP Integration
AgentQL is a MCP server that Enable AI agents to get structured data from unstructured web with AgentQL..
When integrated with oterm, 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 oterm, 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 oterm
- 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
- oterm installed and configured
- Compatible operating system (CLI (Terminal))
Installation
Step 1: Install AgentQL
Configuration
Step 2: Configure oterm
- Open oterm 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 oterm:
E-commerce Product Monitoring
undefined
Ask oterm: "Extract product details from Amazon search results"
Expected Result: undefined
News Article Analysis
undefined
Ask oterm: "Get headlines, summaries, and publish dates from news site"
Expected Result: undefined
Social Media Insights
undefined
Ask oterm: "Extract post engagement from social media feeds"
Expected Result: undefined
Testing Your Setup
- Launch oterm
- Verify AgentQL is available in the tools list
- Test basic AgentQL functionality
Troubleshooting
Common Issues
Connection Refused
Symptoms: Failed to connect to Ollama
Cause: Ollama service is not running
Solution:
- Start Ollama with
ollama serve - Check if Ollama is running on the default port (11434)
Tool Not Found
Symptoms: Model does not use the tool, Tool execution failed
Cause: MCP server not configured correctly or crashed
Solution:
- Check the
config.jsonfor syntax errors - Verify the MCP server command works independently in the terminal
- Ensure the model supports tool calling (e.g., llama3.1)
AgentQL not appearing in oterm
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check AgentQL installation
- Restart oterm
- Check logs for error messages
Next Steps
Now that AgentQL is integrated with oterm:
- Explore all AgentQL capabilities through oterm
- Check out other MCP servers that work with oterm
- Join the MCP community for tips and support
- Consider contributing to AgentQL development
Need Help?
- Search for AgentQL documentation
- Check the oterm MCP guide
- Join the MCP community discussions