AI HR Management Toolkit

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen.

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What it can do

  • 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 est
  • 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 - "en
  • 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. Th

What data it sees

Do you need an account

No: the server works without sign-in

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools

It can solve problems like:

You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't:

Read PDFs/DOCX — The AI can't open binary files

Extract structured data — Copy-pasting loses formatting, metrics, and context

Compare at scale — No consistent scoring across candidates

Track pipeline — Spreadsheets break down after 10 candidates

Generating analysis takes seconds. Getting data into the AI takes forever.

Give your AI assistant direct access to resume parsing, skill extraction, and pipeline management via MCP tools. The AI calls the tools, interprets the results, and delivers analysis — all in one conversation.

How to connect

How to connect AI HR Management Toolkit to Claude

The server address to paste into Claude settings:

https://x24--xjtlumedia2.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect AI HR Management Toolkit to ChatGPT

The server address to paste into ChatGPT settings:

https://x24--xjtlumedia2.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect AI HR Management Toolkit to Cursor

The server address to paste into Cursor settings:

https://x24--xjtlumedia2.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (21)

Raw names from tools/list. Only developers need these.

parse_resumeParse 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.
analyze_resumeUnified 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 analysis (requires jobDescription) - "all" — Full comprehensive analysis combining all aspects (default) Accepts raw text or a file (base64-encoded PDF/DOCX/TXT/MD or URL). 100% algorithmic — no AI calls needed.
batch_parse_resumesParse 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.
assess_candidateAssess 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.
inspect_pipelineRun 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.
ats_manage_candidatesUnified 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_jobsManage 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_offersManage 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_manage_notesManage 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_schedule_interviewFull 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_interview_feedbackManage interview feedback in the ATS. Actions: submit (add feedback to completed interview), get (retrieve feedback for an interview), update (modify existing feedback), 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_analyticsUnified 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_generate_demo_dataGenerate 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_searchGlobal 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.
ats_complianceEnterprise 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_talent_poolManage 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.
ats_scorecardStructured interview scorecards — create evaluation templates with weighted criteria, fill scorecards per candidate/evaluator, aggregate scores to rank candidates, ensure consistent hiring decisions. Actions: create_template, list_templates, get_template, delete_template, fill, get_entry, get_candidate_scores, aggregate, delete_entry.
ats_onboardingPost-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_communicationCandidate 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.
export_resultsExport parsed resume results to a specified format (JSON, CSV, or Markdown). Accepts an array of structured resume results and returns formatted output.
send_emailSend parsed resume results via email using SMTP. Requires SMTP configuration (host, port, user, pass) and recipient email. Sends an HTML summary of all results.