QueryQuarry MCP Server

The consent-based talent graph recruiters' AIs query directly.
Search an anonymous corpus of opted-in candidates in natural language — identity is revealed only when the candidate chooses to respond.

queryquarry.com · MCP docs · Blog · [email protected]

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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, then connect your client and authorize
• Server card: /.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):

{
  "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

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.

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© 2026 QueryQuarry · This repository hosts documentation for the hosted MCP server; the service implementation is not open source.