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io.github.QueryQuarry/queryquarry

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http queryquarry 'https://queryquarry.com/api/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "queryquarry": {
            "type": "http",
            "url": "https://queryquarry.com/api/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. QueryQuarry MCP Server
  2. Connect
  3. Tools
  4. How the double-blind flow works
  5. Pricing

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.

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

ToolWhat it does
search_candidatesSearch 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_candidateEvaluate one candidate in depth (full skills, experience, education) — still anonymous. Metered.
request_contactReach out: you identify yourself, the candidate is notified and decides. If interested, they contact you quoting a one-time code. Metered.
get_contactStatus of a contact request: sent, accepted, or declined.
get_new_candidatesProfiles new or updated since a timestamp — your standing alert.
save_candidate / get_watchlistWatchlist management.
get_corpus_statsAggregate corpus stats — counts, top skills, top locations.
check_subscriptionYour tier, limits, and usage.
get_docsThe 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.

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

Frequently asked questions

What is io.github.QueryQuarry/queryquarry?

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

How do I install io.github.QueryQuarry/queryquarry?

It runs as a remote server. In Claude Code: claude mcp add --transport http queryquarry 'https://queryquarry.com/api/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.QueryQuarry/queryquarry need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.QueryQuarry/queryquarry open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.QueryQuarry/queryquarry?

It is published by QueryQuarry. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.