무료, 항상 지식 기반 30 + 채용 산업 벤치 마크 보고서 - 자연 언어를 사용하여 Claude를 통해 쿼리 할 수 있습니다.

소스에는 Ashby, Gem, LinkedIn, SHRM, iCIMS, Korn Ferry, HireVue, Greenhouse, Bullhorn, Mercer, Phenom, SignalFire, Criteria Corp, Employ 및 Josh Bersin Company가 포함됩니다. 주간 에이전트는 새로운 신뢰할 수있는 보고서를 자동으로 추가합니다.

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당신이 그것을 요구할 수있는 것

• • “500 명 회사에 대한 평균 시간이 얼마입니까?”*
• “시리즈 B 스타트업에서 합격률을 제공하는 벤치 마크는 무엇입니까?”
• • “2026 보고서에서 고용중인 AI에 대한 인용”*
• • “고객 용량은 회사 크기 전반에 걸쳐 비교합니까?”*
• • “젬의 데이터는 접근 응답률에 대해 말합니까?”*
• • "2024 "*에서 모든 Ashby 보고서를 보라 ( 구조 filter_reports 도구)

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설치 방법

옵션 A - Claude.ai (가장 쉬운, 설치 필요 없음)

브라우저에서 직접 유료 클로드 플랜과 함께 작동합니다.

1. claude.ai로 이동하고 ** 설정 → 사용자 정의 → 커넥터**

2. 커넥터 옆에 ** + **를 클릭 한 다음 ** 사용자 지정 커넥터 추가 **

3. 이름 (예를들면 Recruiting Reports])과 URL에 붙여넣기:

4. 클릭 Add

Recruiting Reports MCP

A free, always-on knowledge base of 30+ recruiting industry benchmark reports — queryable through Claude using natural language.

Sources include Ashby, Gem, LinkedIn, SHRM, iCIMS, Korn Ferry, HireVue, Greenhouse, Bullhorn, Mercer, Phenom, SignalFire, Criteria Corp, Employ, and Josh Bersin Company. A weekly agent adds new credible reports automatically.

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What you can ask it

• “What’s the average time-to-fill for a 500-person company?”
• “What are benchmarks for offer acceptance rates at Series B startups?”
• “Find quotes on AI in hiring from 2026 reports”
• “How does recruiter capacity compare across company sizes?”
• “What does Gem’s data say about outreach reply rates?”
• “Show me all Ashby reports from 2024” (uses the structured filter_reports tool)

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How to install

Option A — Claude.ai (easiest, no installs required)

Works with any paid Claude plan directly in your browser.

1. Go to claude.ai and open Settings → Customize → Connectors
2. Click + next to Connectors, then choose Add custom connector
3. Give it a name (e.g. Recruiting Reports) and paste in the URL:

   https://two026-recruiting-reports.onrender.com/mcp
   

4. Click Add

To use it in a conversation, click the + button in the chat input, go to Connectors, and toggle it on.

Option B — Claude Code (CLI)

If you use Claude Code, add this to ~/.claude/mcp.json:

{
  "mcpServers": {
    "recruiting-reports": {
      "type": "http",
      "url": "https://two026-recruiting-reports.onrender.com/mcp"
    }
  }
}

Restart Claude Code — the server connects automatically.

Start asking questions

In any session with the connector enabled, ask questions about recruiting benchmarks. Claude will pull data directly from the reports.

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Reports included

See reports/00-INDEX.md for the full list — organized by source and year, with sample sizes and a Quick Reference table of headline benchmarks.

New reports are added weekly via an automated agent. To contribute one, see CONTRIBUTING.md.

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For developers

Run locally (stdio mode):

npm install
node server.js stdio

Add to ~/.claude/mcp.json:

{
  "mcpServers": {
    "recruiting-reports": {
      "command": "node",
      "args": ["/absolute/path/to/recruiting-reports-mcp/server.js", "stdio"]
    }
  }
}

Run as HTTP server:

npm install
node server.js         # starts on port 3000
PORT=8080 node server.js

Test: curl http://localhost:3000/health

Run tests:

npm test

Add a new report: see CONTRIBUTING.md for the frontmatter schema and the canonical source vocabulary.

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Questions or suggestions? Open an issue or reach out at [email protected].