AI HR toolkit: 24 MCP tools for resume parsing, skill extraction & ATS management.
AI HR toolkit: 24 MCP tools for resume parsing, skill extraction & ATS management.
You have 50 resumes to screen. Your AI assistant can reason about candidates — but it cannot open PDFs, extract structured data, or track pipeline stages. This toolkit bridges that gap.
The server ships on npm as @modelcontextprotocol/inspector, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Header — Descriptionx-api-key — Your AI provider API keyx-ai-provider — openai / anthropic / google / deepseek / glm / qwen / openrouter / opencodezenx-ai-model — Specific model IDx-api-key — Your AI provider API keyx-ai-provider — openai / anthropic / google / deepseek / glm / qwen / openrouter / opencodezenx-ai-model — Specific model IDCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| x-api-key | Your AI provider API key |
| x-ai-provider | openai / anthropic / google / deepseek / glm / qwen / openrouter / opencodezen |
| x-ai-model | Specific model ID |
{
"mcpServers": {
"ai-hr-management-toolkit": {
"command": "npx",
"args": ["-y", "mcp-ai-hr-management-toolkit"]
}
}
}Configuration as documented by the project. Restart the client after saving.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.