AgentQL MCP
Turn unstructured web pages into structured data for agents
Last verified: August 31, 2026
How to Install AgentQL MCP
$npx -y agentql-mcpRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
About AgentQL MCP
AgentQL's MCP server lets an agent query live web pages semantically and get back structured data, rather than scraping raw HTML and hoping the selectors hold. You describe the shape of the data you want and AgentQL locates it on the page, which makes extraction far more resilient to layout changes than traditional selector-based scraping. A good complement to browser automation servers that can navigate but struggle to parse.
AgentQL MCP is a Web Scraping MCP server designed for developers and AI power users. It enables extending AI assistants with real-world capabilities by exposing a structured set of tools over the Model Context Protocol. Key capabilities include standards-based mcp server interface, works with claude, gpt, gemini, and other mcp clients, tool discovery and structured outputs, and structured tool calls that work cleanly inside an LLM context. It integrates with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client, and is best suited for developers and AI power users who need ai engineers wiring assistants into real tools.
Key Features
- web-scraping
- data-extraction
- structured-data
- automation
- Standards-based MCP server interface
- Works with Claude, GPT, Gemini, and other MCP clients
Pricing
- Core MCP server
- Community support
- Works with any MCP client
- Everything in Free
- Higher usage limits
- Priority support
- Everything in Pro
- SLA & SSO
- Dedicated support
Tier details are indicative — visit the AgentQL MCP website for current pricing.
Pros & Cons
Pros
- Drop-in support across MCP-compatible AI clients
- Reduces prompt boilerplate by exposing concrete tool calls
- Active community and ongoing updates
Cons
- Requires an MCP-capable client to use
- Initial setup can require configuration
- Capability surface depends on what the underlying service exposes
Best For
- AI engineers wiring assistants into real tools
- Teams adopting MCP as an integration standard
- Power users who want more than chat
Screenshots
Screenshots coming soon —
Submit yours →Our Take on AgentQL MCP
Solves the brittle-selector problem that makes most scraping setups break within a month. Worth pairing with Playwright or Browserbase rather than treating as a replacement.