AgentQL – README | MCP Marketplace

✨ From vibe coding to vibe deployment. UBOS MCP turns ideas into infra with one message.

Learn more

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.

AgentQL

Project Details

Featured Templates

View More
AI Engineering
Python Bug Fixer
119 1081
Customer service
Multi-language AI Translator
135 646
AI Characters
Your Speaking Avatar
168 685
AI Characters
Sarcastic AI Chat Bot
128 1440

Start your free trial

Build your solution today. No credit card required.

Sign In

Register

Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.