104.com.tw Jobs Search MCP
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透過 MCP 讓 AI 助理直接操作 104 人力銀行，實現搜尋、讀取職缺與輔助投遞 (Hit-in-the-loop) 的求職自動化工具。
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- Author
- yujunwang
- Categories
- Search, Knowledge Base, Other
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Setup
Install 104.com.tw Jobs Search MCP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/yujunwang/104-job-hunter-mcp
Follow the installation instructions in the repository README, then restart your MCP client.
透過 MCP (Model Context Protocol) 讓 AI 直接操作 104 人力銀行。實現搜尋、比對、投遞自動化。🤖 進階應用：利用AGENT.md啟動詢答，從現有履歷直接建立「求職者虛擬分身」(MY_PROFILE.md)，精準鎖定職缺。
[!IMPORTANT]🤖 給 AI Agent 的最高指導原則 (System Prompt for AI)
如果你是接手這個專案的 AI，你的下一步是立刻讀取專案根目錄的AGENT.md。 裡面有建立「虛擬分身」、過濾職缺與投遞的標準劇本。讀完前，禁止執行任何搜尋工具。
git clone https://github.com/YuJunWang/104-job-hunter-mcp.git cd 104-job-hunter-mcp npm install npm run build
把以下設定貼進 MCP 客戶端設定檔（如 Antigravity 的mcp_config.json或 Claude Desktopconfig.json）：
{ "mcpServers": { "104-job-hunter": { "command": "node", "args": ["/絕對路徑/104-job-hunter-mcp/build/index.js"] } } }
(Windows 使用者請注意路徑反斜線跳脫：C:\\Users\\你的帳號\\...\\build\\index.js)
- 複製根目錄的MY_PROFILE.example.md，重新命名為MY_PROFILE.md。
- 填入你的求職偏好與地雷。
- 讓 AI 讀取AGENT.md：
- Antigravity：將AGENT.md放進.agents/rules/，或存成全域 Skill (~/.gemini/config/skills/104-hunter/SKILL.md)。
- Cursor：把AGENT.md內容貼進.cursorrules。
- Claude Desktop：貼進 System Prompt。
- 直接講：「請閱讀專案內的 MY_PROFILE.md 與 AGENT.md 並按照流程幫我找工作」。
- 跑git clone、npm install跟npm run build。
- 請人類跑npx tsx src/login.ts並手動登入。
- 幫人類把 MCP 絕對路徑寫進設定檔。
- 讀取AGENT.md了解操作劇本。
- 依據AGENT.md引導人類建立MY_PROFILE.md。
- 必填參數：keyword(如：AI 全端工程師 Python)
- 選填參數：location(如：台北市)、page(預設 1)
- 注意：AI 應在背景比對結果，只向人類展示 Top 3～5 筆。
- 必填參數：job_url
- 功能：獲取職位描述、條件要求與福利。草擬推薦信前必備。
job104_prepare_application(Hit-in-the-loop)
- 必填參數：job_url
- 選填參數：cover_letter_text、dry_run(預設 false)
- 注意：只會開啟投遞確認頁。AI 執行後必須提醒人類：「請手動點擊確認送出」。
- 必填參數：keyword(公司名稱)
- 選填參數：page、pageSize
- 必填參數：companyInput(代碼或網址)
- 功能：獲取公司福利、產品與開放職缺列表。
- 必填參數：jobInput(代碼或網址)
- 功能：將職缺加入 104 收藏。
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