AgentQL logo

AgentQL

official
ai

Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/).

AgentQL MCP Server

This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities.

Features

Tools

  • extract-web-data
    - extract structured data from a given 'url', using 'prompt' as a description of actual data and its fields to extract.

Installation

To use AgentQL MCP Server to extract data from web pages, you need to install it via npm, get an API key from our Dev Portal, and configure it in your favorite app that supports MCP.

Install the package

npm install -g agentql-mcp

Configure Claude

  • Open Claude Desktop Settings via
    +
    ,
    (don't confuse with Claude Account Settings)
  • Go to Developer sidebar section
  • Click Edit Config and open
    claude_desktop_config.json
    file
  • Add
    agentql
    server inside
    mcpServers
    dictionary in the config file
  • Restart the app
{
  "mcpServers": {
    "agentql": {
      "command": "npx",
      "args": ["-y", "agentql-mcp"],
      "env": {
        "AGENTQL_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
Read more about MCP configuration in Claude here.

Configure Cursor

  • Open Cursor Settings
  • Go to MCP > MCP Servers
  • Click + Add new MCP Server
  • Enter the following:
    • Name: "agentql" (or your preferred name)
    • Type: "command"
    • Command:
      env AGENTQL_API_KEY=YOUR_API_KEY npx -y agentql-mcp
Read more about MCP configuration in Cursor here.

Configure Windsurf

  • Open Windsurf: MCP Configuration Panel
  • Click Add custom server+
  • Alternatively you can open
    ~/.codeium/windsurf/mcp_config.json
    directly
  • Add
    agentql
    server inside
    mcpServers
    dictionary in the config file
{
  "mcpServers": {
    "agentql": {
      "command": "npx",
      "args": ["-y", "agentql-mcp"],
      "env": {
        "AGENTQL_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
Read more about MCP configuration in Windsurf here.

Validate MCP integration

Give your agent a task that will require extracting data from the web. For example:
Extract the list of videos from the page https://www.youtube.com/results?search_query=agentql, every video should have a title, an author name, a number of views and a url to the video. Make sure to exclude ads items. Format this as a markdown table.
[!TIP] In case your agent complains that it can't open urls or load content from the web instead of using AgentQL, try adding "use tools" or "use agentql tool" hint.

Development

Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
If you want to try out development version, you can use the following config instead of the default one:
{
  "mcpServers": {
    "agentql": {
      "command": "/path/to/agentql-mcp/dist/index.js",
      "env": {
        "AGENTQL_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
[!NOTE] Don't forget to remove the default AgentQL MCP server config to not confuse Claude with two similar servers.

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.

Related Servers

E

EverArt

reference

AI image generation using various models

View Details
G

Google Maps

reference

Location services, directions, and place details

View Details
BICScan logo

BICScan

official

Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names.

View Details
Chronulus AI logo

Chronulus AI

official

Predict anything with Chronulus AI forecasting and prediction agents.

View Details
Dart logo

Dart

official

Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool

View Details