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io.github.QueryQuarry/queryquarry

Registre officiel Recherche et web

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

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

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

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  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.

Questions fréquentes

Qu'est-ce que io.github.QueryQuarry/queryquarry ?

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

Comment installer io.github.QueryQuarry/queryquarry ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http queryquarry 'https://queryquarry.com/api/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.QueryQuarry/queryquarry ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.QueryQuarry/queryquarry est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.QueryQuarry/queryquarry ?

Il est publié par QueryQuarry. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.