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.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

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

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

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.

Список инструментов сервера (21)

Технические названия из tools/list. Нужны только разработчикам.

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.
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 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_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.
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.
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.
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_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_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_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_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), 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_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_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_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.
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_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.
ats_scorecard	Structured 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_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_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.
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.
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.