Agent Interviews
Agent Interviews
README
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>
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 projectsagentinterviews_get_interview: Get details about a specific interviewagentinterviews_list_interviewers: List all your interviewersagentinterviews_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:
- Check our documentation
- Contact support@agentinterviews.com
- Open an issue in this repository
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related Projects
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。