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CodeRabbitModel Context Protocol server that integrates AgentQL's data extraction capabilities.
"Automated summary for AI agents and search engines."
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
{"id":"39dc4ad6-b2a2-44b2-8572-bf76286e37c8","title":"Agentql Mcp","description":"AgentQL Model Context Protocol (MCP) server enables AI coding assistants to interact programmatically with web pages using natural language, translating high-level instructions into executable browser automation. It offers a robust API for web scraping, form filling, and navigating complex web applications, allowing agents to perform tasks that require dynamic interaction with web elements without direct browser control. This server simplifies the integration of web-based data and functionality into AI-driven workflows.","dateModified":"2026-04-03","difficulty":"intermediate","tags":["web-automation","agentql","web-scraping","api","python"],"tokenImpact":"Moderate — 1,000–3,000 tokens per call, monitor quota during lockouts.","schemaDescription":"Provides an MCP interface for AI agents to execute web automation tasks using AgentQL, facilitating interaction with dynamic web pages, data extraction, and form submissions through a structured programmatic API accessible to AI coding assistants.","author":"tinyfish-io","authorGithub":"https://github.com/tinyfish-io","license":"Unknown","transport":"stdio","language":"Python","useCases":["Automate data extraction from complex, dynamic web pages for analysis.","Enable AI agents to fill out forms and submit data on web applications.","Navigate multi-step web processes to gather information or perform actions.","Integrate real-time web data directly into AI-driven reports and decisions."],"exampleCommand":"pip install agentql-mcp","mcpConfig":"{\"mcpServers\": {\"agentql-mcp\": {\"command\": \"agentql-mcp\", \"args\": [\"serve\"], \"env\": {}}}}","compatibility":["Google Antigravity IDE","Other IDEs supporting MCP","AgentQL clients"],"copyButtonText":"Copy install command","artifactsProduced":["Extracted web data","Screenshots of web interactions","Status of web page operations","URLs of navigated pages"],"faq":[{"question":"What can you do with AgentQL MCP?","answer":"AgentQL MCP allows AI coding assistants to programmatically interact with web pages, enabling tasks like web scraping, data extraction from dynamic sites, form filling, and navigating complex user interfaces. It translates natural language commands into actions on web elements using the AgentQL engine."},{"question":"Which AI assistants and IDEs are compatible with AgentQL MCP?","answer":"AgentQL MCP is compatible with any AI assistant or IDE that supports the Model Context Protocol (MCP) over stdio, including Google Antigravity IDE. It acts as a bridge, allowing these environments to leverage AgentQL for web automation tasks."},{"question":"How do I install and configure AgentQL MCP?","answer":"Install AgentQL MCP using `pip install agentql-mcp`. Once installed, you can configure it within your IDE's MCP settings, typically by adding a server entry that points to the `agentql-mcp` executable with appropriate arguments to start the server. Ensure necessary environment variables or API keys for AgentQL are set."}]}🚀 The fast, Pythonic way to build MCP servers and clients.
MCP web search using perplexity without any API KEYS
一个基于 MCP (Model Context Protocol) 的邮件服务，支持 LLM 发送带附件的电子邮件及在指定目录中搜索文件。提供安全的 SMTP 传输、多收件人支持和附件模式匹配搜索功能，适用于 Gmail、Outlook、Yahoo、QQ 邮箱和网易 126 邮箱等主流邮箱服务。
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