MCP server
Queryquarry Official
io.github.QueryQuarry/queryquarry
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Double-blind talent marketplace: AIs search anonymous opted-in candidates; reveal on consent.
Working at last checkOfficial: queryquarry.com's GitHub account (QueryQuarry)About 1,968 tokens per request once connected11 tools
https://queryquarry.com/api/mcp
At a glance
- Type
- MCP server
- Publisher
- queryquarry.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 11
- Token cost
- About 1,968 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http queryquarry https://queryquarry.com/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.queryquarry] url = "https://queryquarry.com/api/mcp"
Gemini CLI
{"mcpServers":{"queryquarry":{"httpUrl":"https://queryquarry.com/api/mcp"}}}
Cursor
{"mcpServers":{"queryquarry":{"url":"https://queryquarry.com/api/mcp"}}}
VS Code
{"servers":{"queryquarry":{"type":"http","url":"https://queryquarry.com/api/mcp"}}}
Antigravity
agy mcp add queryquarry https://queryquarry.com/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"queryquarry","server_url":"https://queryquarry.com/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"queryquarry","server_url":"https://queryquarry.com/api/mcp"}
Tools
check_subscription~48 tokens
Check your subscription tier, status, rate limit, and usage this hour.get_candidate~150 tokens
Evaluate one candidate in depth — full skills, summary, seniority, experience (titles + what they did) and education. Stays ANONYMOUS: no name, no contact, and employer names, dates, and graduation years are withheld to protect identity. Counts toward your hourly/daily reveal limit. To actually reacget_contact~120 tokens
Check the status of a contact request you sent: sent (awaiting), accepted (the candidate shared their contact — see shared_contact, and expect their intro email quoting the code), or declined. Identify it by contact_id or code. Also shows any hire outcome either side reported.get_corpus_stats~48 tokens
Get aggregate stats about the talent corpus (counts, top skills/locations).get_docs~92 tokens
Get the full QueryQuarry reference (how it works, all tools and filters, search tips, rate limits, privacy). Call this when you need detail beyond these tool descriptions, when guiding a new user, or before composing a complex search.get_new_candidates~94 tokens
Get resumes new or updated since a timestamp (your standing alert). Same filters as search_candidates. Call daily with yesterday's timestamp; no duplicates.get_watchlist~52 tokens
Get your saved candidates (watchlist).report_contact_outcome~133 tokens
One-tap outcome report on an accepted contact: did it lead to a hire? Optional but appreciated — it's how the marketplace measures that consented outreach beats cold outreach. Values: hired | not_hired | in_progress.request_contact~296 tokens
Reach out to one candidate. You identify yourself (your name + company, from your account); the candidate is notified and decides. If they accept, you receive an EMAIL with their contact, their message, and a unique verification code — their identity stays private until they choose to share it. METEsave_candidate~81 tokens
Save a candidate resume to your watchlist with optional notes.search_candidates~854 tokens
Search the talent graph. Returns ANONYMOUS match cards — headline, skills (with skills_matched showing which of YOUR terms hit), seniority, location, availability, salary range, and a short snippet — but NO name, full resume, or contact. Call get_candidate (a metered reveal) for the deeper anonymous
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