What authentication is required?
You need a valid Agent Interviews API key passed via the `Authorization` header, set in the `API_KEY` environment variable.
@thinkchainai
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"AgentInterviews": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.agentinterviews.com/mcp/",
"--header",
"Authorization:${API_KEY}"
],
"env": {
"API_KEY": "Api-Key fcNyqP1t.LXn3V0E1D6MzSnUnvexL0u8dBqtnvphp"
}
}
}
}List all your projects
Get details about a specific interview
List all your interviewers
Get a transcript from an interview
Agent Interviews is a cutting-edge AI interview-as-a-service platform that helps companies streamline their technical assessment process. The Agent Interviews MCP server provides a standardized way for AI assistants like Claude and Cursor to access your interview data, reports, and transcripts using the Model Context Protocol (MCP).
Install by configuring your MCP-compatible client (Claude Desktop or Cursor) with the provided JSON block, which uses npx to run the mcp-remote package with your Agent Interviews API key. Replace YOUR_API_KEY_HERE in the API_KEY environment variable with your actual key, then restart your client.
agentinterviews_ prefix to avoid naming collisionsYou need a valid Agent Interviews API key passed via the `Authorization` header, set in the `API_KEY` environment variable.
Claude Desktop and Cursor are explicitly supported; the server works with any MCP-compatible client.
The server connects to `https://api.agentinterviews.com/mcp` over HTTPS; your API key is sent in each request and should never be shared or committed to public repositories.
You need `npx` and Node.js installed to run the `mcp-remote` package; an Agent Interviews account with API access is also required.
Example tools include `agentinterviews_list_projects`, `agentinterviews_get_interview`, `agentinterviews_list_interviewers`, and `agentinterviews_get_transcript`.
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