by tinyfish-io · MCP Server · ★ 161
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AgentQL MCP Server This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities. Features Tools - extract structured data from a given 'url', using 'prompt' as a description of actual data and its fields to extract. Installation To use AgentQL MCP Server to extract data from web pages, you need to install it via npm, get an API key from our Dev Portal, and configure it in your favorite app that supports MCP. Install the package Configure Claude Open Claude Desktop Settings via + (don't confuse with Claude Account Settings) Go to Developer sidebar section Click Edit Config and open file Add server inside dictionary in the config file Restart the app Read more about MCP configuration in Claude here. Configure VS Code For one-click installation, click one of the install buttons below: [](https://insiders.vscode.dev
| Stars | 161 |
| Forks | 36 |
| Language | Shell |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.324/100 |
| Open Issues | 4 |
| Last Updated | 2026-04-22 |
| Created | 2024-12-21 |
| Platforms | browser, claude-code, cli, mcp |
| Est. Tokens | ~36k |
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agentql-mcp is Model Context Protocol server that integrates AgentQL's data extraction capabilities.. It is categorized as a MCP Server with 161 GitHub stars.
agentql-mcp is primarily written in Shell. It covers topics such as agent, agentql, ai.
You can find installation instructions and usage details in the agentql-mcp GitHub repository at github.com/tinyfish-io/agentql-mcp. The project has 161 stars and 36 forks, indicating an active community.
agentql-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentql-mcp on Agent Skills Hub include dendrite-python-sdk, decipher-research-agent, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.