Using Agentql Model Contactor Protocol (MCP) Server

Agentql allows you to redeem any website with random data by describing the direct layout of the information you want. It gives you consistent, organized, or from pages with powerful content or constant structures.

In this lesson, we will use the agentql MCP server within the Claude Desktop, and use the built-in skills to check the information. Specifically, we will create a AIs' consequences of AI, issuing information such as price, an average, and the number of review.

Step 1: Setting to rely on

Node Js

We need NPX to use an agentq server, come with node.js.

• Download the latest version of node.js from Node Node Node .org
• Run the Installer.
• Leave all settings as default and complete the installation

Claude Desktop

Download Claude using

Agentql API

Create your agentql API key e -ventq./Apicleys and save it safely – you will need you later in this lesson.

Step 2: Installing Packages

When node.js is installed, turn your terminal and run the following command:

npm install -g agentql-mcp

Step 3: Preparing for the MCP server

Next, prepare Clouds to connect to your MCP server. Open claude_desktop_config.json The file is available from Claude Inputscribe using any text editor. If the file is not, you can create manually. When open, enter the following code:

{
    "mcpServers": {
      "agentql": {
        "command": "npx",
        "args": ["-y", "agentql-mcp"],
        "env": {
          "AGENTQL_API_KEY": ""
        }
      }
    }
  }

Locate with the key you made.

Step 4: Use the server

When MCP preparation is completed, your server should appear in Claude. The agentql server includes one powerful tool – Uninstall_web_Data – taking the URL and the meaning of the natural language of the data structure you want to remove.

You can use any URL you want to graze. In the study, I used the Amazon Search Reso Revel for AI books and asked Cloude to see the data released. Claude provides a terminal communication when producing the processing code and identifies data-sensitive – and you can edit that code as needed. When the code is completed, Claude has introduced chart chart in applicable prices, measurements, reviews, and even the price vs. VS quote.

The agentql can be used to organize websites, and we can link other servures such as view or GitHub to send a formal data documentation, tracking, or other defaults.

This makes a powerful tool to change random web content into usefulness that can be used – everything between easy, environmental, environmental movements.

Here is a short opinion of what we build in MarktechPost:

I am the student of the community engineering (2022) from Jamia Millia Islamia, New Delhi, and I am very interested in data science, especially neural networks and their application at various locations.