AI HR Management Toolkit

AI HR toolkit: 24 MCP tools for resume parsing, skill extraction & ATS management.

Connector by XJTLUmedia · GitHub account verified by the MCP Registry

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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/xjtlumedia-ai-hr-management-toolkit

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AI HR toolkit: 24 MCP tools for resume parsing, skill extraction & ATS management.

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 8 read · 9 write · 0 delete · 9 not yet classified
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Node.js package

Tools by what they do 26

Read from the source code; the running server may list different tools.

Read 8 · Look things up without changing anything.

analyze_resume
ats_search
batch_parse_resumes
extract_experience
extract_skills
parse_resume
parsing_health
summarize_resume

Write 9 · Create, change, send or run things.

ats_interview_feedback
ats_manage_candidates
ats_manage_jobs
ats_manage_notes
ats_manage_offers
ats_onboarding
ats_schedule_interview
ats_talent_pool
send_email

Not yet classified 9 · We could not tell from the name and description.

assess_candidate
ats_analytics
ats_communication
ats_compliance
ats_generate_demo_data
ats_scorecard
export_results
inspect_pipeline
match_job

Files it touches

Any path the agent passes to its tools

Tools (26)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

analyze_resume
Unified resume analysis tool. Select which analysis aspects to run via the "aspects" parameter: - "keywords" — TF-IDF keyword extraction with NER overlay and skill categorization - "entities" — Named Entity Recognition (12 types with confidence and disambiguation) - "skills" — Categorized skill extraction with proficiency estimation (13 categories) - "experience" — Structured work history with timeline, achievements, and career progression - "patterns" — Date ranges, metrics, seniority detection, and section analysis - "similarity" — Job description matching with fit tier, gap analys…
assess_candidate
Assess a resume against recruiter-defined criteria. Supports 8 criteria axes: Education, Experience, Skills, Certifications, Knowledge Stack, Competitions, Thresholds, and Job Qualification. Returns per-axis scores, weighted overall score, and a pass/review/reject decision.
ats_analytics
Unified ATS analytics. Select report type: - "dashboard" — Hiring health report: key metrics, stage distribution, offer stats, velocity, insights - "pipeline" — Funnel analysis: conversion rates, avg days-in-stage, bottleneck detection - "full" — Both reports combined
ats_communication
Candidate communication management — create email templates with {{variable}} interpolation, preview and send messages, log inbound/outbound communications, search history, and get communication stats. Actions: create_template, list_templates, get_template, update_template, delete_template, preview, send, log, get_history, search_history, stats.
ats_compliance
Enterprise compliance toolkit: audit trail queries, EEO/EEOC diversity reporting, GDPR data export & erasure (right to be forgotten), data retention policy checks. Actions: query_audit, eeo_report, eeo_record, gdpr_export, gdpr_erase, retention_check, update_settings, get_settings.
ats_generate_demo_data
Generate a full set of realistic demo data for the ATS (Applicant Tracking System). Returns a complete ATSState with sample jobs, candidates at various pipeline stages, scheduled interviews, and offers. Useful for testing, demonstrations, or populating an empty ATS instance.
ats_interview_feedback
Manage interview feedback in the ATS. Actions: submit (add feedback to completed interview), get (retrieve feedback for an interview), update (modify existing feedback), delete (remove an interview), list_pending (interviews awaiting feedback), list_completed (interviews with feedback, optionally filtered by candidate), analyze (aggregate feedback for a candidate across all interviews), summary (hiring signal summary for a job or all jobs).
ats_manage_candidates
Unified candidate management for the ATS pipeline. Actions: CRUD: add, update, delete, move, bulk_move, list Analytics: rank (sort by fit), filter (by criteria), recommend_stage (suggest moves), compare (side-by-side), summarize (overview stats) Pass the current candidates record and an action. Returns updated state and/or analysis results.
ats_manage_jobs
Manage job postings in the ATS. Actions: create (new job posting), update (edit fields), delete, list (with optional status/department filter), search (by keyword in title/description), close, reopen. Pass current jobs record and an action.
ats_manage_notes
Manage candidate notes in the ATS. Actions: add (create note on candidate), update (edit note content), list (get all notes for a candidate), delete (remove a note), search (find notes by keyword across one or all candidates), bulk_add (add notes to multiple candidates). Pass the current candidates record.
ats_manage_offers
Manage offers in the ATS. Actions: create (validate & structure), update_status (draft→pending-approval→approved→sent→accepted/declined), delete (remove offer), list (all offers with optional filters), compare (side-by-side offer comparison), validate (check for issues). Returns structured offer data.
ats_onboarding
Post-hire onboarding checklist management. Create checklists with categorized tasks (paperwork, IT setup, training, orientation, compliance), track per-task progress, find overdue items, manage assignees. Actions: create, list, get, update_task, add_task, remove_task, progress, delete, overdue.
ats_schedule_interview
Full CRUD for interviews. Actions: create (validate & schedule with conflict detection), update (reschedule/modify), delete (permanent removal), list (filter by candidateId/jobId/status), get (single interview by id). Pass existing interviews record for conflict checks.
ats_scorecard
Structured interview scorecards — create evaluation templates with weighted criteria, fill scorecards per candidate/evaluator, update templates and entries, aggregate scores to rank candidates, ensure consistent hiring decisions. Actions: create_template, list_templates, get_template, update_template, delete_template, fill, get_entry, update_entry, get_candidate_scores, aggregate, delete_entry.
ats_search
Global search across the ATS. Actions: search (keyword search across candidates, jobs, interviews, offers — scoped optionally), filter_candidates (structured filter by stage/job/tags/score), get_entity (retrieve a single entity by type+id). Pass the full ATS state.

Show 11 more tools

ats_talent_pool
Manage passive candidate talent pools (CRM). Create pools, add/remove candidates, search across pools, get pool analytics. Actions: create, update, delete, list, get, add_candidates, remove_candidates, search, analytics.
batch_parse_resumes
Parse multiple resume files at once and run the full algorithmic pipeline on each. Returns raw text, pipeline analysis, keywords, entities, and confidence scores for each file. The LLM client should interpret and structure the results.
export_results
Export parsed resume results to a specified format (JSON, CSV, or Markdown). Accepts an array of structured resume results and returns formatted output.
extract_experience
Extract work experience from resume text using algorithmic date/metrics extraction combined with AI structuring. Uses pattern matching for metrics, date ranges, and section detection before AI refinement.
extract_skills
Extract skills from resume text using algorithmic keyword analysis combined with AI categorization. Uses TF-IDF keyword extraction and section detection before AI refinement.
inspect_pipeline
Run the full 5-node atomic deconstruction pipeline (Ingestion → Sanitization → Tokenization → Classification → Serialization) on resume text. Returns stage-by-stage metrics, confidence scores, entity classification with disambiguation, data quality assessment, and assumption audit. Use this to understand HOW the parser processes a resume and WHERE confidence is low.
match_job
Match a resume against a job description using cosine similarity, Jaccard index, TF-IDF keyword analysis, and AI assessment. Returns algorithmic scores combined with AI-refined compatibility analysis.
parse_resume
Parse a resume file (PDF, DOCX, TXT, MD) or URL and extract text with algorithmic pre-analysis including keyword extraction, metrics detection, section identification, and experience estimation.
parsing_health
Monitor parsing quality, detect drift when resume formats change, submit human corrections, and view learned error patterns. Use 'check_drift' to see if parsing quality has degraded. Use 'submit_correction' to feed back human corrections that improve pattern detection. Use 'calibrate_baseline' after confirming parsing quality is good to set the reference point.
send_email
Send parsed resume results via email using SMTP. Requires SMTP configuration (host, port, user, pass) and recipient email. Sends an HTML summary of all results.
summarize_resume
Generate a recruiter-focused summary using algorithmic pre-analysis (TF-IDF keywords, metrics extraction, section detection, experience estimation) combined with AI synthesis.

Signals

Stars: 1
Forks: 1
Open issues: 0
Last commit: Apr 5, 2026 (7 months ago)
Last release: Apr 4, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name: io.github.XJTLUmedia/ai-hr-management-toolkit
Version: 3.0.5
Auth: No auth
Packages: npm mcp-ai-hr-management-toolkit
License: MIT
Repository: github.com/XJTLUmedia/AI-HR-Management-Toolkit
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

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AI HR Management Toolkit MCP server. Agent Mart. https://agentmart.dev/connectors/xjtlumedia-ai-hr-management-toolkit (last updated 2026-10-24)