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Ai Hr Management Toolkit

@XJTLUmedia

关于 Ai Hr Management Toolkit

AI HR Management Toolkit

基本信息

分类

开发工具

许可证

MIT

运行时

node

传输方式

stdio

发布者

XJTLUmedia

提交者

XJTLU media

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

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