MCP server: One MCP server.

Sourcers Desk

@sourcerdeskRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

Recruiter-grade boolean/x-ray search strings from a 20-year sourcing playbook.

Recruitingv1.0.1MIT
Freeno charge per call

One address for any MCP client. No sign-in needed on this server.

What it does

1 read1 other

Grouped by tool name. At most: creates or changes data: records, files, settings.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Tools

2 · grouped by tool name · checked 9 Oct 2026

Read · 1Look things up

  • generate_boolean_search

Other · 1Neither hinted nor named

  • sourcers_desk_info
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README1 min read

Sourcer's Desk API — documentation

Pay-per-call recruiting expertise for AI agents and developers: POST a role description, get back production-grade boolean/x-ray search strings the way a 20-year recruiter actually writes them.

Live endpoint: POST https://sourcerdesk.com/api/v1/boolean

  • What you get: expanded title variants (OR'd, capped where noise starts), practitioner "shibboleth" skill terms, LinkedIn x-ray strings with exact-phrase locations, open-web resume strings with area-code location groups, iteration advice.
  • Pricing: 3 free calls/day/IP, then ~$0.02 per call via x402 on three rails — 0.05 XNO (feeless Nano), or $0.025 USDC on Base or Polygon.
  • Quality: blind A/B-evaluated against a bare same-model LLM before launch — the playbook engine was preferred 10/10. Methodology and caveats: EVAL.md.
  • For recruiters using Claude or ChatGPT: add it as an MCP connector in about 30 seconds, no wallet needed — MCP.md.
DocContents
API.mdRequest/response schema, the 402 payment flow, curl and client examples
MCP.mdThe MCP connector for Claude, ChatGPT, and Claude Code
EVAL.mdHow the blind evaluation was run, the result, and its honest limits
examples/Real request, 402 quote, and response JSON

What this repo is (and is not)

This is the public documentation. The playbook itself — the encoded judgment the API sells — is private and is not in this repository or any public one. The engine's outputs are yours to use freely; the rules that produce them are the product.

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