What is the `extract-web-data` tool?
It is a single MCP tool that takes a `url` and a `prompt` describing the data fields to extract, then returns structured JSON from the page.
@tinyfish-io
Basic information
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agentql": {
"command": "npx",
"args": [
"-y",
"agentql-mcp"
],
"env": {
"AGENTQL_API_KEY": "YOUR_API_KEY"
}
}
}
}Extracts structured data as JSON from a web page given a URL using a Natural Language description of the data.
AgentQL MCP Server is a Model Context Protocol (MCP) server that integrates AgentQL’s data extraction capabilities, allowing AI agents to extract structured data from web pages via a single tool. It is designed for developers using MCP‑compatible apps like Claude, VS Code, Cursor, or Windsurf.
Install the npm package globally (npm install -g agentql-mcp), obtain an API key from the AgentQL Dev Portal, then configure the server in your MCP‑enabled application’s settings (e.g., claude_desktop_config.json). Use the extract-web-data tool with a URL and a prompt describing the data fields you want.
extract-web-data tool to extract structured data from any URL.npx).It is a single MCP tool that takes a `url` and a `prompt` describing the data fields to extract, then returns structured JSON from the page.
The server runs on Node.js and requires an internet connection to call the AgentQL API. An API key from dev.agentql.com is mandatory.
Authentication is configured via the `AGENTQL_API_KEY` environment variable set in the MCP server configuration (or passed inline in Cursor).
AgentQL MCP Server uses the AgentQL cloud API to analyze web pages; the server itself does not store data – it relays the requested extraction to AgentQL.
It communicates over standard input/output (stdio) as a standard MCP server, enabling integration with any MCP‑compatible client.

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