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AgentQL MCP Server已精选

@tinyfish-io

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

tinyfish-io

关于 AgentQL MCP Server

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

AgentQL MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agentql": {
      "command": "npx",
      "args": [
        "-y",
        "agentql-mcp"
      ],
      "env": {
        "AGENTQL_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

AgentQL MCP Server 工具

1

Extracts structured data as JSON from a web page given a URL using a Natural Language description of the data.

概览

What is AgentQL MCP Server?

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.

How to use AgentQL MCP Server?

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.

Key features of AgentQL MCP Server

  • extract-web-data tool to extract structured data from any URL.
  • Uses natural language prompts to describe desired fields.
  • Works with Claude, VS Code, Cursor, and Windsurf.
  • Requires only an AgentQL API key for authentication.
  • Installed via npm (global or via npx).

Use cases of AgentQL MCP Server

  • Extract a list of videos (title, author, views, URL) from a YouTube search results page.
  • Pull product details (name, price, rating) from an e‑commerce site.
  • Retrieve contact information or job listings from a company website.
  • Generate structured data reports from any public web page.

常见问题

1

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.

2

What runtime dependencies are required?

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.

3

How is authentication handled?

Authentication is configured via the `AGENTQL_API_KEY` environment variable set in the MCP server configuration (or passed inline in Cursor).

4

Where does the extracted data come from?

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.

5

What transport does the server use?

It communicates over standard input/output (stdio) as a standard MCP server, enabling integration with any MCP‑compatible client.

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