官方说明7 个来源MCP 服务8 天前
thinkchainai/agentinterviews_mcp
Run AI-led qualitative research interviews and surveys with Agent Interviews: create interviewers, manage…
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官方说明Run AI-led qualitative research interviews and surveys with Agent Interviews: create interviewers, manage projects, recruit participants and analyze results.
配置模板（请按你的客户端调整）
claude mcp add agentinterviews-mcp -- npx -y agentinterviews_mcp
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 4 ★ · thinkchainai/agentinterviews_mcp · 取自 GitHub 搜索 API · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 4 ★ · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
thinkchainai/agentinterviews_mcp；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
Agent Interviews MCP
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> 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:
- Model Context Protocol Overview
- Setting Up MCP in Cursor
- Setting Up MCP in Claude Desktop
Quick Start
Prerequisites
- An Agent Interviews account with API access
- Your Agent Interviews API key
- MCP-compatible client (Claude Desktop, Cursor, etc.)
Cursor Setup
Claude Desktop Setup
Edit your Claude Desktop config file (accessible via Claude menu → Settings → Developer → Edit Config):
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
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:
- Model Context Protocol Overview
- Setting Up MCP in Cursor
- Setting Up MCP in Claude Desktop
Quick Start
Prerequisites
- An Agent Interviews account with API access
- Your Agent Interviews API key
- MCP-compatible client (Claude Desktop, Cursor, etc.)
Cursor Setup
Claude Desktop Setup
Edit your Claude Desktop config file (accessible via Claude menu → Settings → Developer → Edit Config):
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
- 来源
- awesome · https://github.com/thinkchainai/agentinterviews_mcp
- 按领域浏览
- MCP 服务
- Traction
- 4 ★
- 收录于
- 昨天
更多MCP 服务
所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。