Talent Summoner

com.talentsummonerv1.0.0更新於 Oct 6, 2026

AI candidate sourcing: find, review and shortlist talent worldwide from your AI assistant.

已驗證Streamable HTTP可網頁執行Business & CommerceProductivity & Workflow

概覽

AI 產生的概覽

讓 AI 助理透過 Talent Summoner 在全球搜尋、審閱並篩選招募人選。

功能
將 AI 代理連接到 Talent Summoner，使其能草擬理想人選輪廓、搜尋人選、調整條件，並在同一個工作階段中繼續尋找更多人選。它也支援審閱與篩選人選、要求查詢工作用電子郵件，以及準備外聯草稿。搭配的技能會引導代理完成整個搜尋流程。
適用情境
適合希望直接在 AI 助理中完成人選搜尋與篩選，而不只依賴網頁應用的招募人員與招募團隊。當你已在使用 Talent Summoner，並希望由代理草擬輪廓、搜尋並準備外聯時最為合適。
執行需求
需要 Talent Summoner 帳號，以及登入後建立的 API 金鑰。安裝指令需在互動式 macOS、Linux 或 Windows 終端機中執行，並需要 Node.js 22.20 或更新版本。手動連線時需加入 HTTP MCP 伺服器端點，並以 Bearer 權杖方式使用 API 金鑰進行驗證。
安裝前請注意
API 金鑰屬於憑證：請勿將其放入 AI 代理聊天、shell 指令或 Git 中，中斷連線時需撤銷該金鑰。代理在解鎖某次工作階段的 Role 前會先詢問，外聯內容會在寄送前於 Talent Summoner 網站上審閱並確認。安裝程式本身不會啟動搜尋或使用 Role。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Talent Summoner，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "talent-summoner": {
      "type": "http",
      "url": "https://talentsummoner.com/api/mcp"
    }
  }
}

README

Talent Summoner for AI agents

Connect your AI agent to Talent Summoner to source and review hiring candidates. The Model Context Protocol (MCP) connection gives your AI agent sourcing tools, and the companion skill guides it through the workflow.

Quick start

  1. Sign in to Talent Summoner and create an API key.

  2. In an interactive macOS or Linux terminal, or Windows PowerShell or Command Prompt, with Node.js 22.20 or newer, run:

    sh
    npx @talent-summoner/setup

  3. Select your AI agents, paste the key into the hidden terminal prompt, and let setup check the connection. It installs the MCP connection and skill for the AI agents you select.

  4. Open or restart each AI agent, approve the connection if prompted, and ask: “Show my Talent Summoner sourcing sessions.”

Keep your API key out of AI agent chats, shell commands, and Git. Setup itself does not start sourcing or use a Role.

What you can do

  • Draft an ideal candidate profile before searching: “Draft the ideal candidate profile for a senior React engineer in Berlin. Let me review it before searching.”
  • Search for candidates, refine the criteria, and find more candidates in the same session.
  • Review and shortlist candidates, and request work-email lookups.
  • Prepare outreach drafts for shortlisted candidates.

Your AI agent asks before unlocking a Role for a session. You review and confirm outreach on the Talent Summoner website before sending.

Manage your connection

Rerun npx @talent-summoner/setup to replace a key or update the skill. To disconnect, revoke the key, then remove the talent-summoner MCP entry and skill from your AI agent. Setup displays their locations during installation.

If your AI agent does not show the tools after setup, restart it and check its MCP connection or workspace approval. Report a setup issue if the connection still fails.

Install the skill separately

If you have configured the Talent Summoner MCP connection yourself, install only the companion skill:

sh
npx skills add talent-summoner/agent-skills -g

This command installs the skill instructions. It does not set up the MCP connection. Use one skill installation method per AI agent to avoid duplicate entries.

For a manual MCP connection, add an HTTP server at https://talentsummoner.com/api/mcp in your AI agent's MCP settings and authenticate with your API key as a Bearer token.

Contributing

See the contributor guide for local development and releases.

來源：README.md，提交 2490ae1

工具

0
工具後設資料尚未被收錄。

版本歷史

1
  1. v1.0.0最新Oct 6, 2026