> ## Documentation Index > Fetch the complete documentation index at: https://greatquestion.co/support/llms.txt > Use this file to discover all available pages before exploring further. # MCP: How to use > Example prompts for working with your research through the Great Question MCP. Once connected, you talk to your research in plain language — your MCP client translates that into the underlying tool calls. Here are common ways teams put it to work. **Prep for a stakeholder readout** Pull recent studies, surface key highlights and insights, and get transcript excerpts, all without leaving your AI tool. Ask something like: *"Summarize the top findings from our onboarding study and pull the strongest supporting quotes from transcripts."* **Set up a study from scratch** Create an interview, survey, or unmoderated study, add screener questions with qualification logic and skip branching, assign moderators, configure the interview calendar, customize the invitation email, and send invitations to candidates — all through natural language prompts. Ask: “Create a new round robin interview study about onboarding with a \$25 Amazon gift card incentive and a 10-participant cap, add a 5-question screener with skip logic, and invite our enterprise candidates.” **Start a study from a saved template** Skip rebuilding a screener question by question — find an existing template and apply it to a new or existing study instead. Ask: "Find our onboarding interview screener template and apply it to this new study." **Build an unmoderated test** Stand up a prototype test, website test, card sort, or tree test by adding and ordering blocks. Try: “Create an unmoderated study with a card sort of these 12 features into 4 categories, then add a follow-up open text question.” **Catch up on research you missed** Search across studies and transcripts to quickly get up to speed. Try: *"What studies have been completed in the last month? Give me a summary of each."* **Find patterns across participants** Chain candidate lookups with transcript searches to spot themes. Example: *"Which participants mentioned pricing concerns? What studies were they in, and what exactly did they say?"* **Pull supporting evidence for a product decision** Search highlights and insights to build a case grounded in research. Ask: *"Find all highlights related to navigation issues and summarize the common themes."* **Review Screener Responses** Pull screener responses across studies to see how candidates qualified. Try: “Show me all screener responses for our pricing study. How many were qualified vs. disqualified, and what were the common disqualification reasons?” **Audit participant coverage** Check which candidates have been contacted, how often, and across which studies. Try: *"Show me all studies that participant Jane Doe has been involved in and their outcomes."* **Manage your research panel** Create and update candidate profiles, manage custom attributes, target saved segments, and ensure GDPR compliance with delete capabilities. Ask: “Update the department attribute for all candidates from the Q1 onboarding study to ‘Product.’