AgentInterviews

MCP access to AgentInterviews.com

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6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "thinkchainai-agentinterviews_mcp": {
      "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"
      }
    }
  }
}

You can access your Agent Interviews data through MCP using a remote MCP server that runs via a simple npx command. This setup lets Claude and Cursor queries reach interviews, transcripts, reports, and related data securely with your API key, all through natural language prompts and structured results.

How to use

Interact with your Agent Interviews data by connecting an MCP-enabled client (like Claude Desktop or Cursor). Once connected, you can ask natural-language questions such as asking for interview statuses, retrieving transcripts, listing projects, or getting details about an interviewer. The MCP server handles tool routing behind the scenes, delivering precise results from your Agent Interviews account.

How to install

Prerequisites: you need an Agent Interviews account with API access and a client that supports MCP (for example, Claude Desktop or Cursor). You will install or configure the MCP server integration as shown.

{
  "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"
      }
    }
  }
}

Additional setup notes

If you are using Claude Desktop, you configure MCP clients to point at the same MCP endpoint and provide your API key via an environment variable. The example below shows how to configure the MCP server in a Cursor-style environment and a Claude Desktop-style environment.

{
  "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"
      }
    }
  }
}

Security and access

Your API key is required to access data securely. Treat the API key as a sensitive credential: do not share it publicly or commit it to public repositories. Store it in a secure secret manager or environment variable as shown in the configuration examples.

Examples of what you can ask

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 to access data

The MCP server exposes a set of tools that you can call to retrieve data from Agent Interviews. They are prefixed with agentinterviews_ to avoid collisions with other MCP tools.

Available tools

agentinterviews_list_projects

List all your projects in Agent Interviews.

agentinterviews_get_interview

Get details about a specific interview by ID.

agentinterviews_list_interviewers

List all interviewers available in your account.

agentinterviews_get_transcript

Retrieve a transcript from a completed interview.