tinyfish-io/agentql-mcp

Overview

An MCP server that exposes AgentQL data extraction as a tool for AI assistants. It wraps AgentQL's extraction capabilities through the Model Context Protocol, enabling compatible clients to query and retrieve structured data from web content.

Best for

Best for
Developers who want to add web data extraction to AI assistants using the Model Context Protocol

Use cases

• Extract structured data from web pages via AgentQL through an AI assistant
• Integrate data extraction into MCP-compatible agent workflows
• Automate data collection from websites using a natural language interface

Notes

An MCP server that exposes AgentQL data extraction as a tool for AI assistants. It wraps AgentQL’s extraction capabilities through the Model Context Protocol, enabling compatible clients to query and retrieve structured data from web content.

172 stars on GitHub. Last updated 2026-05-19. Licensed MIT.

Use cases

• Extract structured data from web pages via AgentQL through an AI assistant
• Integrate data extraction into MCP-compatible agent workflows
• Automate data collection from websites using a natural language interface

Pros

• Leverages the open MCP standard for interoperability with AI clients
• Simplifies adding AgentQL extraction to existing agent pipelines
• Lightweight JavaScript implementation runs on Node.js

Cons

• Depends on an external AgentQL service and API key for operation
• Extraction scope is limited to what AgentQL supports (primarily web content)
• MCP ecosystem adoption is still early, limiting client compatibility

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.