Ai Hr Management Toolkit

Name: Ai Hr Management Toolkit
Author: XJTLUmedia

@XJTLUmedia

リポジトリホームページ

Ai Hr Management Toolkit について

AI HR Management Toolkit

#business #hr #resume

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

XJTLUmedia

投稿者

XJTLU media

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "ai-hr-management-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-ai-hr-management-toolkit"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Ai Hr Management Toolkit?

Ai Hr Management Toolkit is an AI-powered resume parser and full Applicant Tracking System with 21 MCP tools. It parses PDFs, extracts skills, detects patterns, scores candidates, and manages a complete hiring pipeline — all from an AI assistant without manual work.

How to use Ai Hr Management Toolkit?

Add the server to any MCP client (Claude Desktop, Cursor, VS Code Copilot, Windsurf) using the command npx -y mcp-ai-hr-management-toolkit. No installation beyond pointing the client to the package. An optional global install or remote HTTP endpoint is also available.

Key features of Ai Hr Management Toolkit

21 MCP tools covering resume parsing, analysis, and full ATS
20 of 21 tools are fully algorithmic — no LLM calls required
Parse PDF, DOCX, TXT, Markdown, and URLs into structured JSON
Extract skills, experience, keywords, and entities algorithmically
Score and rank candidates against job descriptions
Full ATS: jobs, candidates, interviews, offers, notes, analytics

Use cases of Ai Hr Management Toolkit

Screen dozens of resumes in seconds using an AI assistant
Parse resumes from PDFs, URLs, and other formats into structured data
Score and rank candidates against job descriptions
Manage a complete hiring pipeline with ATS tools
Generate compliance reports, talent pools, and onboarding checklists

FAQ from Ai Hr Management Toolkit

Does it require an API key?

No. 20 of 21 tools are fully algorithmic and work without any API key. The assess_candidate tool optionally calls an LLM if you supply provider and apiKey, but it falls back to algorithmic scoring otherwise.

What file formats are supported?

PDF (.pdf), DOCX (.docx), plain text (.txt), Markdown (.md/.markdown), and URLs/HTML. Maximum file size is 10 MB.

What MCP clients are supported?

Claude Desktop, Cursor, VS Code Copilot, Windsurf, and any MCP client that can run the npx command.

How do I install it?

Use NPX (zero-install) by pointing your MCP client at npx -y mcp-ai-hr-management-toolkit. Alternatively, install globally with npm install -g mcp-ai-hr-management-toolkit or use the remote HTTP endpoint.

Where does the data live?

All ATS data is stored in-memory within the server instance (no external database). Data is lost when the server stops unless exported via the export_results tool.