Connect Qualra to your AI assistant
Let Cursor, Claude, or any AI tool run user research for you. Hook Qualra up as an MCP server — set up studies, interview customers, and sync insights to your backlog all from a single prompt.
How this works
Overview
Qualra exposes an open-standard Model Context Protocol (MCP) server. Once connected, your local AI assistant can create studies, list surveys, and retrieve raw research insights directly from your terminal or editor workspace.
Step 1
Get your API key
You need a secure API token to authenticate external AI agents with your Qualra workspace. You can generate and manage keys directly from your Dashboard → Settings → API tab.
Authorization Header Format
When issuing manual JSON payloads or cURL handshakes, inject this key-value header:
"Authorization": "Bearer res_api_your_token_here"Step 2: Connect your client
Client configuration
The Qualra MCP server endpoint is not available yet. API token management is ready today under Dashboard → Settings → API; client setup steps will be published here once the endpoint ships.
MCP server status: not yet available
Step 3
Ask your AI assistant
Once successfully connected, test out the integration by prompting your AI assistant with the following scenarios:
Check active surveys
"What surveys are currently active in my Qualra workspace?"
Launch new study
"Draft a checkout friction study for Nairobi users and set it live."
Synthesize insights
"What are the top pain points from my last Qualra study?"
Need help connecting?
Read the official Model Context Protocol remote specs or reach out to our team.