thinkchainai/agentinterviews_mcp
🔌 MCP Serverthinkchainai
Conduct AI-powered qualitative research interviews and surveys at scale directly through the Model Context Protocol.
The Agent Interviews MCP server provides a robust interface for automating qualitative research. It transforms the traditional survey process by enabling AI agents to act as researchers, capable of conducting nuanced interviews and gathering high-quality data. Key features include the ability to define custom interviewer personas, manage participant recruitment pipelines, and trigger automated analysis of collected responses. By utilizing the MCP standard, this tool ensures that research-focused agents can interact with the Agent Interviews platform securely and efficiently. It is designed for researchers and product teams who need to scale their qualitative insights without the overhead of manual data collection and synthesis. The server exposes specific tools that allow agents to query project statuses, initiate interview sessions, and retrieve structured summaries of research findings, making it a powerful addition to any agentic research stack.
💡Highlights
- ├─Automated AI interviewer creation
- ├─Full MCP-compliant research workflow
- └─Scalable qualitative data analysis
🎯For
- ├─UX Researchers
- ├─Product Managers
- └─AI Developers