What is required to use Usercall MCP?
A valid Usercall API key and Node.js 18+.
@junetic
Basic information
MCP server that lets AI agents run real user interviews and retrieve themes and quotes.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"usercall": {
"command": "npx",
"args": [
"-y",
"@usercall/mcp"
],
"env": {
"USERCALL_API_KEY": "your_key_here"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Usercall MCP lets AI agents run real user interviews via voice calls and return structured insights with themes and verbatim quotes. It integrates with MCP-compatible clients such as Claude Desktop and Cursor, enabling AI agents to gather qualitative user feedback autonomously.
Install via npm (npx -y @usercall/mcp), obtain an API key from app.usercall.co, and add the server configuration to your MCP client’s JSON settings (Claude Desktop or Cursor). Restart the client, then ask your agent to create a study, share the returned interview link with participants, and retrieve results using the provided tools.
A valid Usercall API key and Node.js 18+.
Sign in at [app.usercall.co](https://app.usercall.co), go to Home → Developer → Create API key.
Yes, you can attach an image or Figma prototype URL when creating a study. Media is visible only to web participants; phone callers cannot see it.
Usercall MCP returns an `interview_link` that you can share with participants via email, Slack, Discord, or in-product prompts. The agent can later check the status and retrieve results.
Once a study is complete, `get_study_results` returns structured themes with summaries and verbatim quotes. You can request a summary or full output.
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