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Agent Interviews

@thinkchainai

代码仓库

关于 Agent Interviews

暂无概览

#agent-interviews#ai-interview-platform#technical-assessment

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

thinkchainai

提交者

Tony Lewis

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "AgentInterviews": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.agentinterviews.com/mcp/",
        "--header",
        "Authorization:${API_KEY}"
      ],
      "env": {
        "API_KEY": "Api-Key fcNyqP1t.LXn3V0E1D6MzSnUnvexL0u8dBqtnvphp"
      }
    }
  }
}

工具

4

List all your projects

Get details about a specific interview

List all your interviewers

Get a transcript from an interview

概览

What is Agent Interviews?

Agent Interviews is a cutting-edge AI interview-as-a-service platform that helps companies streamline their technical assessment process. The Agent Interviews MCP server provides a standardized way for AI assistants like Claude and Cursor to access your interview data, reports, and transcripts using the Model Context Protocol (MCP).

How to use Agent Interviews?

Install by configuring your MCP-compatible client (Claude Desktop or Cursor) with the provided JSON block, which uses npx to run the mcp-remote package with your Agent Interviews API key. Replace YOUR_API_KEY_HERE in the API_KEY environment variable with your actual key, then restart your client.

Key features of Agent Interviews

  • Secure API access using your Agent Interviews API key
  • All tools use the agentinterviews_ prefix to avoid naming collisions
  • Access interviews, transcripts, reports, projects, and more
  • Ask natural language questions — AI determines the right tools
  • Compatible with Claude Desktop, Cursor, and other MCP clients

Use cases of Agent Interviews

  • Check the status of recent interviews from an AI assistant
  • Retrieve the transcript from a specific candidate's interview
  • List all available projects and interviewers in your account
  • Get detailed reports on a candidate's performance

FAQ from Agent Interviews

What authentication is required?

You need a valid Agent Interviews API key passed via the Authorization header, set in the API_KEY environment variable.

Which clients are supported?

Claude Desktop and Cursor are explicitly supported; the server works with any MCP-compatible client.

Where does my data travel?

The server connects to https://api.agentinterviews.com/mcp over HTTPS; your API key is sent in each request and should never be shared or committed to public repositories.

Are there any runtime dependencies?

You need npx and Node.js installed to run the mcp-remote package; an Agent Interviews account with API access is also required.

What tools are available?

Example tools include agentinterviews_list_projects, agentinterviews_get_interview, agentinterviews_list_interviewers, and agentinterviews_get_transcript.

评论

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