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Model Context Protocol Overview

What is MCP?​

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to large language models (LLMs). It allows AI models like Claude to access tools, data, and functionality from external services in a standardized way.

With Agent Interviews' MCP server, you can:

  • Access interview data directly from Cursor or Claude Desktop
  • Check the status of your interviews
  • Retrieve transcripts and reports
  • Manage your interviewers and projects
  • All without leaving your coding or chat environment

Why We Built an MCP Server​

We built an MCP server for Agent Interviews to make it easier for our users to access their interview data and functionality directly from AI coding and chat interfaces. This integration streamlines your workflow, allowing you to quickly check interview results, manage your projects, and access interview transcripts without switching contexts.

Available Tools​

Our MCP server exposes tools with the agentinterviews_ prefix to distinguish them from other MCP tools. These tools allow you to:

  • List and view your projects
  • Access interviewer details
  • Retrieve interview transcripts and reports
  • Check interview status
  • And more

The beauty of MCP is that you don't need to remember specific commands or syntax - Claude or other AI assistants will intelligently determine which tools to use based on your natural language requests.

Getting Started​

To start using the Agent Interviews MCP integration, you'll need to set it up in your preferred AI environment:

Example Usage​

Once configured, you can ask questions like:

  • "Show me the status of my recent interviews"
  • "Get the transcript from my last interview"
  • "What projects do I have available?"
  • "Show me details about the 'Senior Developer' interviewer"

The AI will automatically use the appropriate MCP tools to retrieve and present the information you need.