A
licenseNot graded
qualityB
maintenanceMCP server that evaluates, compares, aligns, generates, and validates resume materials against specific job postings, including ATS parseability checks, match scoring, and gap analysis.
Apache 2.0
matchcv-mcp
by 18boys
Related Servers
Alternatives to matchcv-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables JD-aware resume matching through MCP tools, providing deterministic scoring, gap analysis, bullet rewrites, and tailored cover letter generation.7 npmMIT
- AlicenseAqualityCmaintenanceMCP server for AI-powered resume optimization and generation. It enables clients to optimize existing resumes or generate new ones from background info via LLM, producing formatted .docx and .pdf files.21MIT
- AlicenseAqualityBmaintenanceEnables LLM clients to analyse job postings, tailor resumes from an evidence-labelled profile, validate every claim against that profile, and track applications, all through deterministic MCP tools.7Apache 2.0
- AlicenseNot gradedqualityDmaintenanceAn intelligent, zero-cost MCP server that securely parses local resumes and compares them against live job postings for ATS scoring, skill gap analysis, and interview prep.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables resume review against job descriptions through a three-stage pipeline: match scoring, experience rewriting, and ATS optimization. Supports text or document uploads.3 npmMIT
TDQS
A4.2/5.0
Scored across 6 tools
Disambiguation4/5
Most tools map to a distinct pipeline stage: extract, analyze, optimize, tailor. ats_check and roast_resume overlap somewhat since both return ATS scores and recruiter feedback, but their descriptions clearly separate polite actionable feedback from a candid shareable roast, and optimize_resume vs tailor_resume are differentiated by suggestion-level vs full rewrite.
Naming Consistency4/5
All tool names use lowercase snake_case and mostly follow an imperative verb_noun pattern: analyze_job_description, optimize_resume, extract_resume_text, tailor_resume. ats_check is the only deviation, reading more like a noun phrase than check_ats, but the overall naming remains predictable and readable.
Tool Count5/5
Six tools is a well-scoped size for a resume/CV assistant, covering input extraction, job description parsing, ATS feedback, optimization, roasting, and full tailoring. Each tool has a clear role in the workflow, and there is no sense of bloat or excessive granularity.
Completeness5/5
The tool surface covers the core resume workflow end to end: extract text, parse job descriptions, diagnose ATS issues, suggest improvements, and generate a fully tailored resume with a preview link. There are no obvious dead ends, and the descriptions include appropriate guidance for handling limitations such as scanned PDFs or AI credit usage.
Maintenance
ActivitySlowing
ResponsivenessNo issues