thinkchainai/agentinterviews_mcp

CategoryDatabase
AuthorCommunity
Stars238
PricingFree

Overview

The agentinterviews_mcp tool bridges the gap between LLM orchestration and qualitative user research. Instead of manually scripting survey flows or analyzing transcripts in isolation, this MCP allows developers to programmatically trigger and manage AI-driven interviews directly from their IDE or AI agent. It transforms research from a static data collection process into a dynamic loop where you can deploy specialized interviewers, recruit participants, and pull raw qualitative insights back into your development context. For teams building user-centric products, this means integrating real-time user feedback loops directly into the technical workflow, replacing manual spreadsheets with a structured API-driven approach to qualitative data.

Highlights

  • Programmatic control over AI-driven qualitative research projects
  • Automated participant recruitment and interviewer deployment
  • Direct integration of interview data into LLM workflows
  • Scalable qualitative surveying via standardized MCP interface

Full Documentation

Agent Interviews MCP

<p align="center">
<a href="https://agentinterviews.com">
<img src="https://docs.agentinterviews.com/img/agent-interviews-logo-zip-file/svg/logo-no-background.svg" alt="Agent Interviews Logo" width="400">
</a>
</p>

![MCP Compatible](https://modelcontextprotocol.io)

> Access your Agent Interviews data directly from Claude and Cursor using Model Context Protocol (MCP)

What is Agent Interviews?

Agent Interviews is a cutting-edge AI interview-as-a-service platform that helps companies streamline their technical assessment process. Our platform allows you to:

  • Create AI interviewers tailored to specific roles and skills
  • Conduct consistent, bias-reduced technical interviews at scale
  • Collect structured data on candidate performance
  • Save engineering time while maintaining high hiring standards

With Agent Interviews, you can deploy customizable AI interviewers that evaluate candidates through natural conversation, provide detailed reports, and integrate with your existing hiring workflow.

Overview

The Agent Interviews MCP server provides a standardized way for AI assistants to access your interview data, reports, and transcripts using the Model Context Protocol (MCP). This integration allows Claude, Cursor, and other MCP-compatible AI assistants to seamlessly interact with your Agent Interviews account.

Features

  • ✅ Secure API Access: Connect to your Agent Interviews account using your API key
  • ✅ Prefixed Tools: All tools use the agentinterviews_ prefix to avoid collisions with other MCPs
  • ✅ Comprehensive Functionality: Access interviews, transcripts, reports, projects, and more
  • ✅ Intuitive Queries: Ask natural language questions and let the AI determine the right tools to use

Documentation

For comprehensive setup guides and usage instructions, visit our official documentation:

Quick Start

Prerequisites

  • An Agent Interviews account with API access
  • Your Agent Interviews API key
  • MCP-compatible client (Claude Desktop, Cursor, etc.)

Cursor Setup

json
{
  "mcpServers": {
    "AgentInterviews": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.agentinterviews.com/mcp",
        "--header",
        "Authorization:${API_KEY}"
      ],
      "env": {
        "API_KEY": "Api-Key YOUR_API_KEY_HERE"
      }
    }
  }
}

Claude Desktop Setup

Edit your Claude Desktop config file (accessible via Claude menu → Settings → Developer → Edit Config):

json
{
  "mcpServers": {
    "agentinterviews": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.agentinterviews.com/mcp",
        "--header",
        "Authorization:${API_KEY}"
      ],
      "env": {
        "API_KEY": "Api-Key YOUR_API_KEY_HERE"
      }
    }
  }
}

Example Usage

Once configured, you can ask questions like:

  • "Show me the status of my recent interviews"
  • "Get the transcript from my last interview with candidate John Smith"
  • "What projects do I have available?"
  • "Show me details about the 'Senior Developer' interviewer"

Available Tools

Our MCP server exposes tools with the agentinterviews_ prefix. Some key tools include:

  • agentinterviews_list_projects: List all your projects
  • agentinterviews_get_interview: Get details about a specific interview
  • agentinterviews_list_interviewers: List all your interviewers
  • agentinterviews_get_transcript: Get a transcript from an interview

Security

The Agent Interviews MCP server requires your API key for authentication. This key is used to securely access your account data. Never share your API key or include it in public repositories.

Support

If you encounter any issues or have questions:

  • Open an issue in this repository

License

This project is licensed under the MIT License - see the LICENSE file for details.

Related Projects

View official source
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