Official description7 sourcesMCP servers8d ago

thinkchainai/agentinterviews_mcp

Run AI-led qualitative research interviews and surveys with Agent Interviews: create interviewers, manage…

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Official descriptionRun AI-led qualitative research interviews and surveys with Agent Interviews: create interviewers, manage projects, recruit participants and analyze results.

Config template (adjust for your client)

claude mcp add agentinterviews-mcp -- npx -y agentinterviews_mcp

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 4 ★ · thinkchainai/agentinterviews_mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source: collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history: first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score: score 703 · 4 ★ · 7 sources · mcp

FAQ (answers come from our records)

How do I install it?

We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.

Who is it for?

We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

repository thinkchainai/agentinterviews_mcp；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

Third-party quality signals

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