Sprig MCP: Connect Your Survey Data to AI Tools

Connect Your Research to Claude, ChatGPT, and Other AI Tools with Sprig MCP

Research teams are increasingly using AI to analyze data, answer stakeholder questions, generate reports, and uncover insights. But most survey platforms still require manual exports, spreadsheets, and disconnected workflows to make that possible.

Join Paresh Vakhariya, AI Product Lead, for this on-demand webinar on Sprig MCP (Model Context Protocol), the first research platform that AI agents can query natively.

With Sprig MCP, Claude, ChatGPT, Cursor, and other AI tools can securely access your survey studies, responses, themes, and segments directly from Sprig, enabling entirely new workflows for quantitative research.

In this session, you’ll learn how to:

• Connect Sprig to Claude, ChatGPT, and other MCP-compatible AI tools in minutes
• Query survey responses and research studies using natural language
• Analyze open-ended responses alongside quantitative results
• Compare findings across multiple studies and customer segments
• Generate executive summaries, presentations, and research reports grounded in survey data
• Answer ad hoc stakeholder questions without exporting data
• Build custom research workflows using AI agents and Sprig data

You’ll also walk away with an understating of four workflows MCP unlocks

• Advance quantitative analysis
• Cross-study analysis
• Research reporting
• Custom research agents

We’ll demonstrate real-world examples using customer experience surveys, UX measurement programs, market research studies, and product feedback data.

Whether you’re an individual researcher or leading a research team, you’ll leave with practical examples of how MCP can make your research data instantly accessible inside the AI tools where analysis and decision-making increasingly happen.