A
licenseNot graded
qualityD
maintenanceA specialized Model Context Protocol (MCP) server that enables AI-powered interview roleplay scenarios for practice with realistic conversational feedback.
7 npm
7
Apache 2.0
interview-prep-mcp
by shenmali
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TDQS
B3.4/5.0
Scored across 17 tools
Disambiguation5/5
Each tool targets a distinct operation: CV parsing vs job parsing, question generation vs answer submission, session management vs research notes. No two tools have overlapping purposes; even similar verbs like 'list' and 'get' are applied to different resources (interviews vs practice history vs questions).
Naming Consistency5/5
All tools follow a consistent verb_noun_tool pattern in snake_case (e.g., parse_cv_tool, list_interviews_tool, set_active_cv_tool). Verbs are descriptive and uniformly placed at the start. No mixing of conventions or cryptic abbreviations.
Tool Count5/5
17 tools is well-scoped for a specialized interview preparation server. The count covers essential workflows (CV management, job parsing, question generation, practice, feedback, research, model config) without being overwhelming or sparse.
Completeness4/5
Core CRUD-like operations are present for key entities (create/list for interviews, parse/list for CVs and jobs, generate/list for questions). Minor gaps: no update or delete tools for CVs, job postings, or research notes, but the primary workflow (parse-match-practice-analyze) is fully covered.
Maintenance
ActivityInactive
ResponsivenessNo issues