AgentQL MCP Server
An MCP server for extracting structured data from web pages.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: AgentQL MCP Server. It is used for: An MCP server for extracting structured data from web pages. Full Skill content: https://321skill.com/skills/agentql-mcp-server/raw/index.md Read that page and install it.
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This Skill addresses the time-consuming and error-prone nature of manually extracting unstructured data from web pages. In practical development, developers often need to scrape specific fields (such as price, reviews, parameters) from competitor websites, product pages, or industry reports. However, traditional web scraping requires writing complex CSS selectors or XPath, resulting in high maintenance costs.
Usage is straightforward: simply install the agentql-mcp package globally via npm, then configure your API Key in an MCP-compatible client like Claude, VS Code, or Cursor. After that, you can extract data using natural language instructions. For example, you can tell the AI, "Extract the product name, price, and inventory status from this URL." It will automatically call the AgentQL API and return structured JSON results.
It is ideal for teams or individuals who frequently need to collect data from web pages. This is especially true for users already leveraging AI-assisted development with Claude or Cursor, as it integrates seamlessly into existing workflows without requiring additional learning of scraping tools. Data analysts, e-commerce operators, and full-stack developers can get started quickly.
We recommend using this tool when you need to batch-extract multiple fields from web pages. It's important to note that it primarily relies on AgentQL's cloud service. Extraction effectiveness can be impacted by the structural complexity of the target webpage, and dynamically rendered pages (like SPAs) may require additional configuration. A valid AgentQL API Key is also required.
Key Features
Unlike traditional scraping tools (like Scrapy or Puppeteer), the AgentQL MCP Server uses natural language prompts to describe target fields, eliminating the need to write CSS selectors or regular expressions, which significantly lowers the configuration barrier. Compared to general-purpose crawlers like Firecrawl, it outputs strictly structured data as defined by the prompt, rather than full-page Markdown, making it more suitable for subsequent data analysis and database ingestion.
Limitations
Requires an AgentQL API Key (free tier has limited quotas). Must have Node.js installed and the npm package installed globally before use. Does not support offline or local models. Extraction speed is affected by target webpage load times and AgentQL service response.
FAQ
Is a paid API Key required?
Yes, you need to register for free on the AgentQL Dev Portal to obtain one. The free quota is sufficient for daily use; payment is required for usage beyond the quota.
Can it extract content from dynamically loaded pages?
Yes, AgentQL's underlying technology supports JavaScript rendering, but the webpage must be publicly accessible. Additional handling may be required for pages requiring login or employing anti-scraping measures.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agentql-mcp-server/raw/index.md to read the original Skill definition (Markdown format) for AgentQL MCP Server, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agentql-mcp-server/raw/index.md