AgentQL
Overview
Enable AI agents to get structured data from unstructured web with AgentQL
Server Type
official MCP Server
Integration Details
AgentQL is a production-ready MCP server that enables AI models to interact with external tools and data sources through the Model Context Protocol (MCP).
MCP is an open standard developed by Anthropic that provides a standardized way for AI models to access various capabilities and services.
This server can be seamlessly integrated with modern AI-powered development environments like Windsurf, Cursor, Cline, and other MCP-compatible clients, enhancing your coding workflow with powerful AI capabilities.
Use Cases
This MCP server can be used to:
- Enable AI models to interact with AgentQL's services
- Provide AI agents with access to specialized tools and data
- Enhance AI capabilities through external service integration
- Build more powerful AI applications with extended functionality
- Supercharge IDEs like Windsurf, Cursor, and Cline with advanced AI capabilities
- Connect Claude and other AI assistants to specialized tools and services
How to use AgentQL MCP with Claude Code
To add the AgentQL MCP server to Claude Code (Anthropic's CLI tool), run:
claude mcp add agentqlOther useful Claude Code MCP commands:
claude mcp list- List all configured MCP serversclaude mcp remove agentql- Remove the AgentQL MCP server
Once configured, Claude Code will automatically use AgentQL's capabilities during your coding sessions.
About Model Context Protocol (MCP)
Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI models to interact with external tools and data sources. MCP servers provide a standardized way for AI models to access various capabilities and services.
By using MCP, developers can extend the capabilities of AI models like Claude, allowing them to perform actions such as searching the web, accessing databases, or interacting with APIs.
Modern development environments and MCP Clients like Windsurf, Cursor, Microsoft Copilot, and Cline leverage MCP to provide AI-powered coding assistance, enabling features like intelligent code completion, automated debugging, and contextual documentation access.
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