What is required to use Usercall MCP?
A valid Usercall API key and Node.js 18+.
@junetic
基本信息
MCP server that lets AI agents run real user interviews and retrieve themes and quotes.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"usercall": {
"command": "npx",
"args": [
"-y",
"@usercall/mcp"
],
"env": {
"USERCALL_API_KEY": "your_key_here"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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