Interview MCP Server – Your AI‑Powered Interview Companion

Interview MCP Server tackles the perennial pain points of technical hiring by turning the entire interview lifecycle into a data‑driven, AI‑augmented workflow. Recruiters and hiring managers no longer need to manually sift through resumes, craft bespoke questions, or juggle disparate tools. Instead, the server automates resume parsing, question generation, real‑time transcription, and evaluation reporting—all while integrating seamlessly into the IDEs that developers already use.

At its core, the server exposes a set of MCP resources that let an AI assistant (e.g., Claude) request specific actions: upload a PDF resume, ask for a question set tailored to a job title, or trigger an automated interview report. The assistant can then orchestrate these calls in natural language, giving interviewers a conversational interface that feels like chatting with an intelligent co‑worker. Because the server handles heavy lifting—parsing PDFs, invoking language models for question design, and running speech‑to‑text locally—the AI can focus on higher‑level decisions such as follow‑up prompts or candidate scoring.

Key capabilities include:

• Intelligent resume parsing that extracts names, work history, and tech stacks with minimal effort.
• Context‑aware question generation that blends resume data with a job description to produce deep, role‑specific prompts.
• Live conversation recording via local speech recognition, converting spoken dialogue into Markdown for auditability and later analysis.
• Automated multi‑dimensional evaluation reports that combine candidate data, interview transcripts, and preset rubrics into structured PDFs or Markdown files.
• Wide position coverage ranging from frontend to backend, testing, and more, with adjustable difficulty levels for junior to senior roles.
• IDE integration through VS Code and JetBrains extensions, allowing interviewers to manage everything—resume upload, question generation, and report review—without leaving their coding environment.

In practice, a hiring manager can drop a candidate’s resume into the designated folder, trigger in an AI chat within VS Code, and receive a ready‑to‑use set of questions. During the interview, the server records audio, transcribes it in real time, and later compiles a comprehensive evaluation that highlights technical strengths, problem‑solving skills, teamwork, and cultural fit. This end‑to‑end automation reduces bias, speeds decision cycles, and frees recruiters to focus on strategic hiring rather than administrative overhead.

The standout advantage of Interview MCP Server lies in its end‑to‑end AI workflow integration. By exposing all interview functions as MCP endpoints, it lets any compliant AI assistant act as a virtual hiring partner—crafting questions on the fly, adjusting difficulty mid‑conversation, and generating instant feedback—all while maintaining a single source of truth for candidate data. For developers and hiring teams looking to scale interview quality without sacrificing efficiency, this server offers a robust, extensible foundation that blends AI intelligence with the tools they already trust.