# queryquarry

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/QueryQuarry/QueryQuarry  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/queryquarry

## Description
Double-blind talent marketplace: AIs search anonymous opted-in candidates; reveal on consent.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "queryquarry": {
    "command": "npx",
    "args": ["-y","queryquarry"]
  }
}
```

## Documentation & README

<p align="center">
  <img src="https://queryquarry.com/QueryQuarry_Logo_192.png" width="96" alt="QueryQuarry logo — an amber gem" />
</p>

<h1 align="center">QueryQuarry MCP Server</h1>

<p align="center">
  <b>The consent-based talent graph recruiters' AIs query directly.</b><br/>
  Search an anonymous corpus of opted-in candidates in natural language — identity is revealed only when the candidate chooses to respond.
</p>

<p align="center">
  <a href="https://queryquarry.com">queryquarry.com</a> ·
  <a href="https://queryquarry.com/docs/mcp">MCP docs</a> ·
  <a href="https://queryquarry.com/blog">Blog</a> ·
  <a href="mailto:hello@queryquarry.com">hello@queryquarry.com</a>
</p>

---

QueryQuarry is a remote (hosted) MCP server for recruiters and sourcers. Instead of scraping or spraying InMails, your AI assistant queries a structured talent graph where **every profile is explicitly opted in**, candidates stay **anonymous until they accept contact**, and outreach happens through a **double-blind escrow handshake**.

- **Endpoint:** `https://queryquarry.com/api/mcp` (streamable HTTP)
- **Auth:** OAuth 2.0 — sign up at [queryquarry.com](https://queryquarry.com/recruiter/onboarding), then connect your client and authorize
- **Server card:** [`/.well-known/mcp/server-card.json`](https://queryquarry.com/.well-known/mcp/server-card.json)

## Connect

**Claude (claude.ai / Claude Desktop):** Settings → Connectors → Add custom connector → `https://queryquarry.com/api/mcp`

**Any MCP client** (via [`mcp-remote`](https://www.npmjs.com/package/mcp-remote)):

```json
{
  "mcpServers": {
    "queryquarry": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://queryquarry.com/api/mcp"]
    }
  }
}
```

On first use you'll be sent through OAuth to link your recruiter account.

## Tools

| Tool | What it does |
| --- | --- |
| `search_candidates` | Search the talent graph. Returns anonymous match cards — headline, skills, seniority, location, availability, salary range. Rich filters: skills, location, remote, seniority, employment type, salary, experience, work authorization, relocation. |
| `get_candidate` | Evaluate one candidate in depth (full skills, experience, education) — still anonymous. Metered. |
| `request_contact` | Reach out: you identify yourself, the candidate is notified and decides. If interested, they contact you quoting a one-time code. Metered. |
| `get_contact` | Status of a contact request: sent, accepted, or declined. |
| `get_new_candidates` | Profiles new or updated since a timestamp — your standing alert. |
| `save_candidate` / `get_watchlist` | Watchlist management. |
| `get_corpus_stats` | Aggregate corpus stats — counts, top skills, top locations. |
| `check_subscription` | Your tier, limits, and usage. |
| `get_docs` | The full reference, served to your AI. |

Full documentation: [queryquarry.com/docs/mcp](https://queryquarry.com/docs/mcp)

## How the double-blind flow works

1. `search_candidates` → anonymous match cards, ordered by recency.
2. `get_candidate` → deeper evaluation, still no name or contact info.
3. `request_contact` → the candidate is notified with your identity and message.
4. The candidate decides. If interested, **they** reach out to you with a one-time code. The platform never exposes a candidate's identity or contact details — consent is structural, not policy.

## Pricing

Free accounts include an allowance of candidate reveals and contact requests. Paid plans: [queryquarry.com/#pricing](https://queryquarry.com/#pricing).

---

<p align="center">© 2026 QueryQuarry · This repository hosts documentation for the hosted MCP server; the service implementation is not open source.</p>