mcpField
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Agent Interviews

Agent Interviews

Local
github.com/thinkchainaiAI & Agents4Updated 74w ago

About Agent Interviews

Agent Interviews MCP connects AI clients to interview data held in an Agent Interviews account. It supports access to projects, interviewers, interview details, reports, and transcripts for hiring teams.

Key features

  1. 01Access account interview data
  2. 02List projects and interviewers
  3. 03Retrieve interview details and transcripts
  4. 04Use prefixed tools to avoid name collisions

Use cases

  1. 01Review recent interview status
  2. 02Retrieve a candidate interview transcript
  3. 03Check available hiring projects
  4. 04Inspect an interviewer’s details

MCP support

The MCP server exposes Agent Interviews account data through tools for compatible clients such as Claude and Cursor. Authentication uses an API key.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"agentinterviews_mcp": {
"command": "npx",
"args": [
"-y",
"mcp-remote"
],
"env": {
"API_KEY": "<API_KEY>"
}
}
}
}
Run commandnpx -y mcp-remote
Environment variables to set
API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-remote

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Agent Interviews MCP

Agent Interviews Logo

MCP Compatible

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
{
  "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):

{
  "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:

License

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

Related Projects

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.