# Welcome to Verb AI Learn how to connect AI agents to your Verb AI behavioral research platform.\ Connect your AI tools to Verb AI using the Model Context Protocol (MCP), an open standard that lets AI assistants interact securely with behavioral research data and user insights. ## What is Verb AI MCP? Verb AI MCP is a hosted server that gives AI tools secure access to Ver AI behavioral research data. It's designed to work seamlessly with popular AI assistants and platforms like Claude, ChatGPT, and Claude. ## Why use Verb AI MCP? * **Secure access** - Connect through OAuth authentication * **Rich behavioral data** - Access comprehensive user behavior across news, e-commerce, social media, search, and more * **AI-optimized** - Built specifically for AI agents with structured data formatting and semantic search * **Research-focused** - Tools designed for behavioral research, demographic analysis, and user insights ## What can you do with Verb AI MCP? * **Analyze user behavior** - Study patterns across news consumption, shopping habits, social media engagement, and app usage * **Demographic research** - Filter and analyze users by demographics, education, employment, and activity levels * **Content analysis** - Search through behavioral documents using semantic search for deeper insights * **Cross-platform insights** - Understand user behavior across YouTube, Instagram, Reddit, search engines, and ecommerce platforms * **Research automation** - Generate behavioral reports, user segments, and pattern analysis from comprehensive data --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.generationlab.org/readme.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.