AgentQL Data Extraction
A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
What is AgentQL Data Extraction?
AgentQL Data Extraction is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to server that provides agentql's data extraction capabilities enabling ai agents to get structured data from unstructured web
A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
This server falls under the Browser Automation category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A server that provides AgentQL's data extraction capabilitie
Use Cases
Maintainer
Works with
Installation
NPM
npx -y agentql-mcpManual Installation
npx -y agentql-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AgentQL Data Extraction
The AgentQL MCP server gives AI agents the ability to extract structured data from any web page by describing what they want in plain language rather than writing CSS selectors or XPath. It exposes a single `extract-web-data` tool that accepts a URL and a natural language description of the fields to extract, then returns clean, structured data powered by AgentQL's cloud API. This is particularly useful for agents that need to pull product listings, search results, pricing, or any web content without dealing with brittle scraper code.
Prerequisites
- Node.js 18+ installed (required to run `npx`)
- An AgentQL API key from the AgentQL Developer Portal at https://dev.agentql.com
- An MCP-compatible client such as Claude Desktop, Cursor, Windsurf, or VS Code
Obtain an AgentQL API key
Sign up at https://dev.agentql.com and create an API key from the Developer Portal dashboard. Keep this key available for the next step.
Add the server to your MCP client config
Add the AgentQL entry to your `claude_desktop_config.json` (or equivalent for your client) under `mcpServers`. Set `AGENTQL_API_KEY` to your key from the previous step.
Restart your MCP client
Restart Claude Desktop (or your chosen client) to load the new server configuration. The AgentQL server will be launched automatically via npx.
Test with a simple extraction
Ask your AI client to extract data from a public web page to verify the tool is working. You should get back a structured result without writing any code.
Debug with the MCP Inspector (optional)
If the tool is not being called, use the MCP Inspector to test it directly or provide a hint in your prompt like 'use the agentql tool'.
npx @modelcontextprotocol/inspector npx -y agentql-mcpAgentQL Data Extraction Examples
Client configuration
Claude Desktop config block that launches the AgentQL MCP server via npx with your API key.
{
"mcpServers": {
"agentql": {
"command": "npx",
"args": ["-y", "agentql-mcp"],
"env": {
"AGENTQL_API_KEY": "YOUR_AGENTQL_API_KEY"
}
}
}
}Prompts to try
Example extraction tasks you can ask once the AgentQL MCP server is connected.
- "Extract the list of videos from https://www.youtube.com/results?search_query=agentql — each video should have title, author, view count, and URL. Format as a markdown table."
- "Get all product names and prices from https://news.ycombinator.com — return title, points, and comment count for the top 10 stories"
- "Extract the job listings from a careers page: title, location, and department for each open role"
- "Pull the speaker names and talk titles from a conference schedule page"
- "Get the latest 5 GitHub releases from a repository's releases page including version number and release date"Troubleshooting AgentQL Data Extraction
The AI ignores AgentQL and tries to fetch the page itself
Add an explicit hint in your prompt such as 'use the agentql tool' or 'use tools to extract data'. Some clients need encouragement to prefer MCP tools over built-in browsing capabilities.
API key errors or 401 Unauthorized responses
Verify `AGENTQL_API_KEY` is set correctly in your MCP config `env` block and that the key is active in your AgentQL Dev Portal at https://dev.agentql.com. Keys may need to be regenerated if they expire.
Extraction returns incomplete or empty results
The page may require JavaScript rendering or authentication. Try describing the fields you want more specifically in your prompt. Pages behind logins or CAPTCHAs may not be accessible. Use the MCP Inspector (`npx @modelcontextprotocol/inspector npx -y agentql-mcp`) to test the tool directly.
Frequently Asked Questions about AgentQL Data Extraction
What is AgentQL Data Extraction?
AgentQL Data Extraction is a Model Context Protocol (MCP) server that server that provides agentql's data extraction capabilities enabling ai agents to get structured data from unstructured web It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AgentQL Data Extraction?
Install via npm with the command: npx -y agentql-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with AgentQL Data Extraction?
AgentQL Data Extraction works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AgentQL Data Extraction free to use?
Yes, AgentQL Data Extraction is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up AgentQL Data Extraction in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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