explaingit

talent-collective/recruiting-reports-mcp

★ 15JavaScriptAudience · pm founderComplexity · 1/5Setup · easy

TLDR

A curated collection of 30+ recruiting industry benchmark reports queryable through Claude in plain English. Ask questions about hiring metrics, outreach rates, and HR benchmarks without downloading PDFs, Claude retrieves answers directly from sources like LinkedIn, SHRM, Greenhouse, and Korn Ferry.

Mindmap

mindmap
  root((repo))
    Report Sources
      LinkedIn SHRM Ashby
      Greenhouse Korn Ferry
      HireVue Mercer
    Query Methods
      Plain English questions
      Claude chat sessions
    Setup Options
      Claude dot ai connector
      Claude Code config
      Self hosted server
    Automation
      Weekly report updates
      Auto sync new reports
    Developer Tools
      stdio mode
      HTTP server mode
      Contributing guide
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Things people build with this

USE CASE 1

Ask Claude what the average time to fill a role is at companies of a specific size, pulling from multiple benchmark reports at once.

USE CASE 2

Research outreach reply rates and hiring funnel benchmarks from sources like Gem or LinkedIn without manually searching PDFs.

USE CASE 3

Stay current on recruiting industry data as the knowledge base updates weekly with newly published reports.

USE CASE 4

Developers can self-host the server and contribute new benchmark reports to expand the collection.

Tech stack

JavaScriptMCPClaude AIHTTP serverstdio

Getting it running

Difficulty · easy Time to first run · 5min

For Claude.ai paid plans: paste a URL in Settings > Connectors, no install needed. For Claude Code: add one line to a config file and restart. Self-hosting requires Node.js.

License not mentioned in the explanation.

In plain English

This repository is a knowledge base of more than 30 recruiting industry benchmark reports that you can query through Claude using plain English. Instead of downloading PDFs or searching through separate documents, you connect this server to Claude and ask questions like "What is the average time to fill a role at a 500-person company?" or "What does Gem's data say about outreach reply rates?" and Claude retrieves the relevant figures directly. The reports come from well-known recruiting and HR research sources including Ashby, LinkedIn, SHRM, Greenhouse, Korn Ferry, HireVue, Mercer, and about a dozen others. A weekly automated process adds newly published reports as they become available, so the knowledge base stays current without manual updates. Connecting it to Claude takes a few minutes. For Claude.ai on a paid plan, you go into Settings, find the Connectors section, and paste in a URL that points to the hosted server. No software installation is required for this method. If you use Claude Code on the command line, you add a short entry to a config file and restart the tool. Either way, once the connection is active you can ask recruiting questions in any chat session and Claude will pull from the reports. For developers who want to run the server themselves, the README covers how to start it locally in two modes: a stdio mode for direct use with Claude Code, and an HTTP mode that starts a local web server. There are also instructions for adding new reports to the collection by following a specific format described in a contributing guide.

Copy-paste prompts

Prompt 1
Using the recruiting-reports-mcp knowledge base, what does the data say about average time-to-fill for engineering roles at companies with 200, 500 employees?
Prompt 2
Based on the benchmark reports available, what outreach reply rates should I expect for cold recruiter messages on LinkedIn?
Prompt 3
What do Ashby and Greenhouse data say about offer acceptance rates in 2024, and how do they compare?
Prompt 4
Using the recruiting benchmark reports, summarize the top 3 metrics I should track to know if my hiring funnel is healthy.
Prompt 5
What does the SHRM or Mercer data say about compensation benchmarking and how companies set salary bands?
Open on GitHub → Explain another repo

← talent-collective on gitmyhub — every repo by this author, as a profile.

Verify against the repo before relying on details.