$ loading_
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.
Manage recruiting workflows in natural language, from screening to scored interview reports.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Explore a developer’s profile, skills, and projects via natural language.
Parse local resumes and compare jobs for ATS scoring and interview prep.
Generate MCP tools from OpenAPI specs for natural-language API interaction.
Build MCP apps and agent servers for leading AI assistants faster.