Double-blind talent marketplace: AIs search anonymous opted-in candidates; reveal on consent.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Capabilities & Tool Schemas (9)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Queryquarry.
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_candidateWatchlist management.
Documentation Overview
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.
- Endpoint:
https://queryquarry.com/api/mcp(streamable HTTP) - Auth: OAuth 2.0 — sign up at queryquarry.com, then connect your client and authorize
- Server card:
/.well-known/mcp/server-card.json
Connect
Claude (claude.ai / Claude Desktop): Settings → Connectors → Add custom connector → https://queryquarry.com/api/mcp
Any MCP client (via mcp-remote):
On first use you'll be sent through OAuth to link your recruiter account.
Tools
| Tool | What it does |
|---|---|
search_candidates | Search 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_candidate | Evaluate one candidate in depth (full skills, experience, education) — still anonymous. Metered. |
request_contact | Reach out: you identify yourself, the candidate is notified and decides. If interested, they contact you quoting a one-time code. Metered. |
get_contact | Status of a contact request: sent, accepted, or declined. |
get_new_candidates | Profiles new or updated since a timestamp — your standing alert. |
save_candidate / get_watchlist | Watchlist management. |
get_corpus_stats | Aggregate corpus stats — counts, top skills, top locations. |
check_subscription | Your tier, limits, and usage. |
get_docs | The full reference, served to your AI. |
Full documentation: queryquarry.com/docs/mcp
How the double-blind flow works
search_candidates→ anonymous match cards, ordered by recency.get_candidate→ deeper evaluation, still no name or contact info.request_contact→ the candidate is notified with your identity and message.- 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.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
9
Callable tools this server registers over MCP.
Reviews
No reviews yet — be the first to share how this listing worked for you.
Frequently Asked Questions about Queryquarry
AllMCPs Directory Badge
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
Badge Style:
Live Dynamic SVG Preview
Markdown (GitHub README)
[](https://allmcps.com/mcp/queryquarry)HTML Embed
<a href="https://allmcps.com/mcp/queryquarry"><img src="https://allmcps.com/api/badge/queryquarry?style=directory" alt="Queryquarry on AllMCPs" /></a>Technical Specs & Signals
CategoryDeveloper Tools
10/11 checks healthy over the last 45d
49Quality signal: Fair · 49/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools25/30
Adoption & activity2/15
Community engagement0/10
A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.
Own this project?
This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.
Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.
Claim & get free dofollowShare & Embed
Add our SVG badge (dark/light directory styles) or embeddable widget to your site.