TL;DR
AgentQL is a AI & ML MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent enable AI agents to get structured data from unstructured web pages using natural language queries. Install in 1 minute with mcpizy install agentql.
AgentQL
Install verifiedAI & ML
Enable AI agents to get structured data from unstructured web pages using natural language queries.
Repo audit: 91/100 — actively maintained, documented and licensed
Scored on licence, adoption, maintenance and documentation of tinyfish-io/agentql-mcp. We show the grade whether it flatters the server or not.
last commit 6 days ago · 177 stars · MIT licence · 6 open issues
Read the full audit on CheckMCPInstall AgentQL
mcpizy install agentqlnpx -y agentql-mcpWorks with
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Frequently asked questions
What is the AgentQL MCP server?
AgentQL is listed as an AI & ML Model Context Protocol server whose documented purpose is to let an MCP-compatible agent enable AI agents to get structured data from unstructured web pages using natural language queries. Client support, permissions and authentication remain specific to the upstream project.
How do I install AgentQL MCP with Claude Code?
The fastest way is the MCPizy CLI: run `mcpizy install agentql` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y agentql-mcp` and restarting Claude Code.
Does MCPizy charge to view or install AgentQL MCP?
No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.
Does AgentQL MCP work with Cursor and Windsurf?
The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.
What can I do with AgentQL MCP?
Its documented purpose is to let an MCP-compatible agent enable AI agents to get structured data from unstructured web pages using natural language queries. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.
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