# QueryQuarry

> QueryQuarry — queryquarry-queryquarry. Use this tool when you need to find and recruit top talent while respecting candidate anonymity and consent. QueryQuarry solves recruitment challenges by providing a double-blind marketplace where AI assistants can search and evaluate potential candidates using natural language queries. It takes in recruiter queries and candidate profiles as inputs, and outputs match cards and contact requests, making it ideal for use cases where privacy and efficiency are crucial.

Canonical page: https://skillsregistry.net/skills/queryquarry-queryquarry  
JSON: https://api.skillsregistry.net/v1/skills/queryquarry-queryquarry

## Description

Consent-based, double-blind talent marketplace. Recruiters' AI assistants search an anonymous corpus of opted-in candidates in natural language, evaluate match cards, and request contact — identity is revealed only when the candidate chooses to respond. Hosted remote server (streamable HTTP + OAuth) at queryquarry.com/api/mcp.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q35zctc96y)
- **Repository:** <https://github.com/QueryQuarry/QueryQuarry>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "queryquarry-queryquarry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/queryquarry-queryquarry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/queryquarry-queryquarry/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt