talent-collective

talent-collective / recruiting-reports-mcp

Public

MCP server exposing 2026 recruiting industry benchmark reports

11
2
89% credibility
Found May 22, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A free, always-on knowledge base that connects to your AI assistant (Claude) to answer questions about recruiting industry benchmarks. It contains 22+ reports from credible sources like SHRM, LinkedIn, Ashby, Gem, and Korn Ferry. Users can ask natural language questions like 'What's the average time-to-fill for a 500-person company?' and get instant answers from these reports. The service runs continuously on the web and is also available as a downloadable tool for local use.

How It Works

1
💼 You need recruiting data

You're a hiring manager or recruiter who wants industry benchmarks to make better decisions.

2
🔍 You discover a free knowledge base

Someone tells you about a free tool that lets your AI assistant search through 22+ industry reports about recruiting.

3
🔗 You connect it to your AI assistant

You paste a web address into your AI assistant's settings — it takes about 30 seconds and requires no technical skills.

4
💬 You start asking questions

You type questions like 'What's the average time to hire for a 500-person company?' or 'Show me offer acceptance benchmarks for startups.'

5
Your AI searches the reports
📊
Browser users

Click the connector button in the chat to enable it during conversations

⌨️
CLI users

The connection stays active automatically in every session

✅ You get instant answers

Within seconds you have data from SHRM, LinkedIn, Ashby, and other sources — no searching through websites or PDFs.

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AI-Generated Review

What is recruiting-reports-mcp?

A JavaScript-based MCP server that gives you a natural language interface to 22+ recruiting industry benchmark reports. Instead of hunting down PDFs or digging through paywalled research sites, you ask Claude questions like "What's the average time-to-fill for a 500-person company?" and get answers pulled directly from sources like Ashby, Gem, LinkedIn, SHRM, and Korn Ferry. It exposes these reports as tools through the Model Context Protocol, so you can query the data from Claude.ai, Claude Code, or your own MCP-compatible setup. The server runs in stdio mode for CLI use or as an HTTP endpoint for web integrations.

Why is it gaining traction?

Recruiting data is scattered across dozens of vendor sites and almost never free. This flips that model entirely. Developers building HR tools, ATS integrations, or internal dashboards get instant access to benchmark data without manual research. The weekly automated updates mean the dataset stays current with 2026 reports. The MCP protocol integration is the real hook here -- it transforms static PDFs into queryable tools, which is a pattern more developers are starting to expect.

Who should use this?

HR tech developers building features that need industry context. Recruiting tool founders who want their apps to reference real benchmarks. Technical recruiters building internal dashboards or chatbots that need data-backed answers. If you work on anything touching talent acquisition and need fast access to sourcing metrics, offer rates, or AI-in-hiring data, this saves real research time.

Verdict

With a credibility score of 0.9% and just 11 stars, this is early-stage software that could disappear or change. The core concept works and the documentation is solid enough to get started, but there's no test coverage to speak of and limited community validation. Worth trying for personal or internal projects, but don't build production customer-facing features on it without a backup plan for data sourcing.

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