HireHeat
Company hiring signals + open jobs from Greenhouse, Lever, Ashby boards, API + MCP. 20 free/day.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~273Token(工具定義)
~674 B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": {
"hireheat-api": {
"url": "https://hireheat-api.cybermax-tools.workers.dev/mcp?via=mcp-registry"
}
}
}遠端端點
https://hireheat-api.cybermax-tools.workers.dev/mcp?via=mcp-registrystreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢hiring_signals(company, keywords)
Open roles, roles posted in the last 7/30 days, hiring level, counts by function and seniority, top departments and locations, remote roles and the 10 newest jobs for one company domain or job-board URL.
輸入結構描述
{
"type": "object",
"properties": {
"company": {
"type": "string",
"description": "e.g. stripe.com or jobs.lever.co/acme"
},
"keywords": {
"type": "array",
"items": {
"type": "string"
},
"description": "optional title keywords"
}
},
"required": [
"company"
]
}🟢company_jobs(company, keywords, remote, limit)
Every open job at one company (up to 500), newest first: title, department, location, remote, posted date, URL, salary when published, function and seniority.
輸入結構描述
{
"type": "object",
"properties": {
"company": {
"type": "string"
},
"keywords": {
"type": "array",
"items": {
"type": "string"
}
},
"remote": {
"type": "boolean"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 500
}
},
"required": [
"company"
]
}社群
證據
近期觀測
已驗證未記錄版本2 個工具