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Sourcerdesk Api Docs MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://sourcerdesk.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

2 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "com-sourcerdesk-sourcers-desk": {
      "url": "https://sourcerdesk.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

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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