sourcers-desk
Recruiter-grade boolean/x-ray search strings from a 20-year sourcing playbook.
我該用這個嗎
品質與安全性
B
根據工具定義與協定合規性的自動化分析。
上下文成本
~274Token(工具定義)
~1.0 KB典型回應大小
極小的注意力影響(128k 上下文的 0.21%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"sourcers-desk": {
"url": "https://sourcerdesk.com/mcp"
}
}
}遠端端點
https://sourcerdesk.com/mcpstreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢generate_boolean_search(role_description, location, target, constraints)
Generate recruiter-grade boolean search strings for a role: LinkedIn x-ray + open-web resume search, with expanded titles and practitioner skill terms from a 20-year sourcing playbook. Takes 1-3 minutes. role_description is required; location is a city/metro.
輸入結構描述
{
"type": "object",
"properties": {
"role_description": {
"title": "Role Description",
"type": "string"
},
"location": {
"default": "",
"title": "Location",
"type": "string"
},
"target": {
"default": "both",
"title": "Target",
"type": "string"
},
"constraints": {
"default": "",
"title": "Constraints",
"type": "string"
}
},
"required": [
"role_description"
],
"title": "generate_boolean_searchArguments"
}輸出結構描述
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "generate_boolean_searchOutput"
}⚪sourcers_desk_info
About Sourcer's Desk: what the playbook encodes, pricing of the pay-per-call API, the Chrome extension, and how AI agents pay.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "sourcers_desk_infoArguments"
}輸出結構描述
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "sourcers_desk_infoOutput"
}社群
證據
近期觀測
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具