SkillMapper MCP Server
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- FlicenseNot gradedqualityBmaintenanceEnables autonomous, evidence-driven screening of technical candidates by evaluating resumes against job descriptions and rubrics, producing ranked scores, gap analyses, and audit-ready PDF, HTML, and Markdown reports.-
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to discover postings from watched company boards ranked by keyword fit, tailor and fact-check resumes against a source-cited profile, render ATS-readable PDFs, submit applications through the user's own browser, and track replies and follow-ups. All ranking, claim checking and email classification run as plain code, so LLM tokens are spent only on writing.1Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables resume review against job descriptions through a three-stage pipeline: match scoring, experience rewriting, and ATS optimization. Supports text or document uploads.0MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to upload resumes and receive structured ATS scores with parseability, section coverage, contact-info, and keyword analysis, along with qualitative improvement suggestions via an LLM.-
- AlicenseAqualityBmaintenanceEnables parsing a master resume, analyzing job descriptions for ATS/match scores, generating truthful tailored resumes, tracking applications, and producing PDF reports through Claude Desktop.17MIT
- AlicenseAqualityAmaintenanceTurns any AI assistant into an ATS-optimized resume engine that tailors resumes to job descriptions, validates candidate intake, analyzes gaps, scores matches, and renders DOCX/PDF outputs.9MIT
TDQS
Scored across 5 tools
search_documents and retrieve_evidence both retrieve content, which could cause confusion, but the descriptions differentiate them (broad hybrid search vs. targeted evidence for a specific requirement). The other three tools (compare, capture_feedback, lookup) are clearly distinct.
All five tools follow a consistent verb_noun snake_case pattern: search_documents, retrieve_evidence, compare_resume_to_job, capture_reviewer_feedback, lookup_evaluation_result. Verbs are varied but appropriate and readable.
Five tools is reasonably scoped for a resume-vs-job evaluation domain, covering search, targeted retrieval, the full comparison agent, feedback, and result lookup. It is slightly lean but each tool earns its place.
The lifecycle is mostly covered (search, retrieve, compare, capture feedback, lookup results), but there is no ingestion tool despite descriptions referencing 'ingested' chunks, and no update/delete or reviewer-triage operations. These gaps may force agents to look outside the server.