AgentQL FAQs

Question 1

What is AgentQL MCP Server?

Accepted Answer

AgentQL MCP Server integrates AgentQL's data extraction capabilities as a Model Context Protocol (MCP) server, allowing you to easily extract structured data from web pages using natural language prompts within AI agents like Claude, Cursor, and Windsurf.

Question 2

How do I install and configure AgentQL MCP Server?

Accepted Answer

Install via npm (`npm install -g agentql-mcp`). Configure it in your preferred MCP-compatible application (Claude, Cursor, Windsurf) by adding the AgentQL server configuration with your API key from the AgentQL Dev Portal.

Question 3

What is the 'extract-web-data' tool?

Accepted Answer

The `extract-web-data` tool is a key feature that allows you to specify a URL and a natural language prompt describing the data you want to extract from that webpage. AgentQL will then extract the data accordingly.

Question 4

Which AI agents are compatible with AgentQL MCP Server?

Accepted Answer

AgentQL MCP Server is compatible with any AI agent supporting the Model Context Protocol (MCP), including Claude, Cursor, and Windsurf. The documentation provides detailed configuration instructions for each of these platforms.

Question 5

How do I debug AgentQL MCP Server?

Accepted Answer

Debugging can be done using the MCP Inspector. Run `npm run inspector` to launch the Inspector and access debugging tools in your browser to inspect communication between your AI agent and the AgentQL MCP Server.

AgentQL

AgentQL

Key Features

Use Cases

Key Features

Use Cases