If you've ever gotten a Slack message like "Didn't we test something like this a few months ago? What did people say?" – Lyssna's MCP server means you don't have to dig through old studies, export a CSV, or paste data into an AI assistant to find the answer. Here's how Model Context Protocol (MCP) lets you ask Claude, ChatGPT, Microsoft Copilot, Gemini, or Cursor directly, with real examples.
What you'll see in this demo:
How to connect Lyssna's MCP server to your AI assistant in about a minute
How to ask questions across your past research studies at once – usability tests, surveys, and interviews – instead of reopening each one
How to find research by describing what it was about, even without the exact study name
How to get answers grounded in real participant quotes, cited back to the source study or interview transcript
How to combine Lyssna's MCP server with tools like Linear or Notion to go from insight to action without copying anything by hand
Resources:
Chapters:
0:00 – What the Lyssna MCP server is
1:24 – Connecting your AI assistant via MCP
2:18 – Asking questions across multiple studies
3:33 – Getting quotes from interview transcripts
4:15 – Connecting insights to tools like Linear
