agentql-mcp

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

177
Stars
45
Forks
JavaScript
Language
8/23/2026
Added
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/tinyfish-io/agentql-mcp

Getting Started

Guides for using skills like agentql-mcp.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

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 VS Code

For one-click installation, click one of the install buttons below:

Install with NPX in VS Code Install with NPX in VS Code Insiders

Manual Installation

Click the install buttons at the top of this section for the quickest installation method. For manual installation, follow these steps:

Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "apiKey",
        "description": "AgentQL API Key",
        "password": true
      }
    ],
    "servers": {
      "agentql": {
        "command": "npx",
        "args": ["-y", "agentql-mcp"],
        "env": {
          "AGENTQL_API_KEY": "${input:apiKey}"
        }
      }
    }
  }
}

Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.

{
  "inputs": [
    {
      "type": "promptString",
      "id": "apiKey",
      "description": "AgentQL API Key",
      "password": true
    }
  ],
  "servers": {
    "agentql": {
      "command": "npx",
      "args": ["-y", "agentql-mcp"],
      "env": {
        "AGENTQL_API_KEY": "${input:apiKey}"
      }
    }
  }
}

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.

Frequently Asked Questions

What is agentql-mcp?

agentql-mcp is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by tinyfish-io. Model Context Protocol server that integrates AgentQL's data extraction capabilities. It has 177 GitHub stars.

Is agentql-mcp safe to use?

agentql-mcp returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install agentql-mcp?

Clone the repository with "git clone https://github.com/tinyfish-io/agentql-mcp" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is agentql-mcp written in?

agentql-mcp is primarily written in JavaScript. It is open-source under tinyfish-io on GitHub, so you can review or fork the full source.

Are there alternatives to agentql-mcp?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agentql-mcp against similar tools.

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