A

Agentql MCP

The AgentQL MCP Server is a model context protocol server integrating AgentQL's data extraction capabilities, supporting the extraction of structured data from web pages.
2.5 points
67

What is the AgentQL MCP Server?

The AgentQL MCP Server is a tool integrating AgentQL's data extraction capabilities, which can help you extract structured data from web pages, such as video lists and product information. It enables efficient data scraping through natural language instructions and specific prompt words.

How to use the AgentQL MCP Server?

First, install and configure the AgentQL MCP Server, then add the server configuration to your application. Next, you can send prompt words with specific tasks to the model, for example, to extract specific information from a web page and format it into a table.

Applicable Scenarios

Suitable for scenarios where structured data needs to be extracted from web pages, such as product information on e - commerce platforms and video lists on video platforms.

Main Features

Extract Web DataUse the `extract-web-data` tool to extract structured data from a specified URL and define the specific fields to be extracted according to the prompt words.

Advantages and Limitations

Advantages
Powerful data extraction capabilities, supporting various web page structures.
Flexible prompt word design to meet diverse needs.
Complex data scraping tasks can be completed without programming.
Supports seamless integration with multiple AI assistants (such as Claude, Cursor, Windsurf).
Limitations
May have limited support for dynamically loaded content.
Requires an API key for authentication.
Prompt words may need to be optimized for complex web pages.

How to Use

Install the AgentQL MCP Server
Run the following command to globally install the AgentQL MCP Server: `npm install -g agentql-mcp`.
Get an API Key
Visit [AgentQL Dev Portal](https://dev.agentql.com) to register an account and obtain an API key.
Configure the MCP Server
Add AgentQL server information to the configuration file of the target application, such as for Claude, Cursor, or Windsurf.
Send Task Instructions
Send prompt words with specific tasks to the model, for example, to extract a video list and format it into a table.

Usage Examples

Extract a YouTube Video ListExtract video information from a YouTube search results page, including the title, author, number of views, and video link.
Scrape Product Information from an E - commerce PlatformScrape product prices, ratings, and stock status from an e - commerce website.

Frequently Asked Questions

How to install the AgentQL MCP Server?
Does the AgentQL MCP Server support dynamically loaded content?
How to get an API key?
How to verify if the AgentQL MCP Server is configured successfully?

Related Resources

AgentQL MCP Official Documentation
Detailed technical documentation and usage guides.
AgentQL Dev Portal
Obtain API keys and developer resources.
MCP Inspector
A tool for debugging the MCP server.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase