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Prepare for interviews with AI-driven practice, mock Q&A, and feedback.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "interview-prep-mcp" yet — see the docs or source repo.
Run a 30-minute mock technical interview for a Python backend engineer role, covering algorithms, system design, and follow-up questions on projects, then give improvement advice at the end.
A complete mock interview flow with questions, answers, evaluation, and improvement suggestions.
Using the STAR method, help me prepare answers for 5 common behavioral interview questions for a product manager role, highlighting cross-functional collaboration and project execution.
Structured draft answers for behavioral questions, with response frameworks and optimization tips.
Here is a transcript from an interview I just finished. Analyze which answers were unclear, what the interviewer likely cared about, and suggest strategies for my next interview.
An interview review report identifying weak points, inferred evaluation criteria, and actionable improvement steps.
Search AI-native jobs, prepare applications, and practice interviews efficiently.
Build, debug, and manage software tasks with natural language across LLMs.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Turn CVs and projects into MCP tools for querying and job matching.
Explore a developer’s profile, skills, and projects via natural language.
Manage job application materials, fetch job postings, and prepare for interviews.