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talent-collective/recruiting-reports-mcp

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本页由 AI 翻译,技术细节请以原文为准。 查看原文

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MCP服务器揭露2026年招聘行业基准报告

概览

一个免费、始终在线的30+招聘行业基准报告知识库——可通过Claude使用自然语言查询。 来源包括Ashby、Gem、LinkedIn、SHRM、iCIMS、Korn Ferry、HireVue、Greenhouse、Bullhorn、Mercer、Phenom、SignalFire、Criteria Corp、Employ和Josh Bersin Company。每周代理会自动添加新的可信报告。 - “500人公司的平均招聘时间是多少?”- “B轮初创公司的录用率基准是什么?”- “查找2026年招聘AI报告中的引用”- “招聘人员能力在不同公司规模中如何比较?”- “Gem的数据如何反映外联回复率?”- “显示2024年所有Ashby报告”(使用结构化filter_reports工具) 可以直接在浏览器中支持任何付费的Claude套餐。 1. 进入 claude.ai 并打开 2.点击“连接器”旁边,然后选择3。给它一个名字(例如招聘报告),并粘贴网址:4.

概述(AI 翻译)

一个免费、始终在线的30+招聘行业基准报告知识库——可通过Claude使用自然语言查询。

来源包括Ashby、Gem、LinkedIn、SHRM、iCIMS、Korn Ferry、HireVue、Greenhouse、Bullhorn、Mercer、Phenom、SignalFire、Criteria Corp、Employ和Josh Bersin Company。每周代理会自动添加新的可信报告。


你可以问什么

  • “一家500人公司的平均补员时间是多少?”
  • “B轮初创企业的报价接受率基准有哪些?”
  • “查找2026年报告中关于人工智能招聘的引用”
  • “不同公司规模的招聘人员能力如何比较?”
  • “Gem的数据如何说明外展回复率?”
  • “显示我所有2024年的Ashby报告”(使用结构化filter_reports工具)

如何安装

选项A — Claude.ai(最简单,无需安装)

可以直接在浏览器中支持任何付费的Claude套餐。

  1. 进入 claude.ai 并打开设置→自定义→连接器

  2. 点击连接器旁边的**+,然后选择添加自定义连接器**

  3. 给它命名(例如 Recruiting Reports),并粘贴 URL:

  4. 点击添加

本页由 AI 翻译,技术细节请以原文为准。

README

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.


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)

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.


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.


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.


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

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手?先看 mcpskill.org 教程 →

配置

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