Queryquarry

Overview

Queryquarry is a Model Context Protocol server that operates as a double-blind talent marketplace. It enables AI systems to search a pool of anonymous, opted-in candidates while maintaining privacy until both parties consent to reveal identities. By integrating Queryquarry into your AI workflow, you gain access to talent discovery tools that respect candidate anonymity and consent.

Queryquarry runs as a hosted remote service, so there's no local installation required. Simply point your MCP client to https://queryquarry.com/api/mcp to start using it. The latest release is v1.0.0, published under the MIT license with full source code available at QueryQuarry/QueryQuarry on GitHub. No authentication is needed to get started.

Queryquarry belongs in the Development category and works with all major MCP clients including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and Zed. If you're the maintainer, you're invited to claim this listing to verify ownership and keep information up to date.

Installation

Settings → Connectors → Add custom connector
Name: Queryquarry
URL:  https://queryquarry.com/api/mcp