Q
Queryquarry
Double-blind talent marketplace: AIs search anonymous opted-in candidates; reveal on consent.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Install Config Generator
Choose your client
💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Documentation Overview
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 · hello@queryquarry.com
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):
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
search_candidates→ anonymous match cards, ordered by recency.get_candidate→ deeper evaluation, still no name or contact info.request_contact→ the candidate is notified with your identity and message.- 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.
© 2026 QueryQuarry · This repository hosts documentation for the hosted MCP server; the service implementation is not open source.
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CategoryDeveloper Tools
27Quality signal: Emerging · 27/100How this signal is calculated ▾
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Documentation & tools11/30
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