Gemsift Mcp

io.github.erashev-fedor由 GitHub 帳號 erashev-fedor 發布v1.0.0更新於 Oct 24, 2026

AI resume triage for recruiters. Query your candidate pool from Claude or ChatGPT.

已驗證Streamable HTTP可網頁執行效率與工作流商業與電商

概覽

AI 產生的概覽

Gemsift 是託管的 MCP 伺服器,讓 AI 助理透過對話查詢招募人員的候選人資料庫,完成篩選、進入決選與調整候選人狀態。

可以做什麼
列出開放職缺與候選人數,並取得某職缺的決選名單,包含關鍵字篩選容易漏掉的有潛力人選。查看候選人的解析檔案與各職缺評估,了解其排名原因(符合、缺少、可轉移)。檢查資料庫中的重複、資料一致性與詐欺訊號。依職缺描述建立職缺,並取得可將履歷直接送入資料庫的轉寄地址。透過對話將候選人移至決選、淘汰等狀態。
適用情境
適合自行進行初篩的個人或獵才招募人員,以及小型內部招募團隊:想直接問助理誰值得約談、某人為何排在這個位置,或在對話中推進候選人流程而不必切換工具。
執行需求
託管遠端端點,無需安裝。需要 Gemsift 帳號,以及從帳號設定取得的各工作區金鑰,透過 Authorization 的 Bearer 標頭傳送。需要能連線至該服務的網路。
安裝前請注意
工作區金鑰是機密憑證,透過 Authorization 標頭傳送,可存取你的候選人資料庫。工具可建立職缺並變更候選人狀態,助理操作會修改招募資料。候選人檔案與評估會傳送給你所連接的 AI 助理。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Gemsift Mcp,將其新增到工作區。
  2. 連接 Authorization token 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 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。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.erashev-fedor%2Fgemsift-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "gemsift": {
      "type": "http",
      "url": "https://gemsift.com/api/mcp/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

Gemsift MCP Server

Query your recruiting pipeline from Claude or ChatGPT.

Gemsift is an AI resume-triage tool for recruiters. This MCP server connects your AI assistant directly to your own candidate pool, so you can screen, shortlist, and move candidates by chat. Drop in a pile of applicants and ask your AI who is actually worth a call, including the strong people a keyword filter would normally bury, with the reasons why. The recruiter always makes the final call.

Who it's for

Individual and agency recruiters, and small in-house hiring teams who do their own first-pass screening, drown in inbound applications, and do not want to lose a good candidate just because they look weak on paper.

What you can do (ask your AI things like)

  • "Show me the shortlist for my Backend Engineer role, and flag any hidden gems."
  • "Why is Maria ranked above the other candidates for this position?"
  • "Any duplicate or suspicious applications in my pool right now?"
  • "Create a role from this job description and tell me who already fits."
  • "Move James to shortlist and pass on the rest for the Designer role."

Connect

Hosted, remote server. No install. You authenticate with a per-workspace key from your Gemsift account: gemsift.com → Settings → Connect AI.

  • Streamable HTTP: https://gemsift.com/api/mcp/mcp
  • SSE (legacy): https://gemsift.com/api/mcp/sse
  • Auth header: Authorization: Bearer <your-workspace-key>
json
{  "mcpServers": {    "gemsift": {      "url": "https://gemsift.com/api/mcp/mcp",      "headers": { "Authorization": "Bearer <your-workspace-key>" }    }  }}

Tools

ToolWhat it does
list_positionsYour open roles with candidate counts
get_shortlistTop candidates for a role, including hidden gems
get_candidate_analysisFull parsed profile and per-role evaluations for one person
why_rankedWhy a candidate scores the way they do: matched, missing, transferable
list_trust_flagsDuplicate, consistency, and fraud signals in your pool
get_email_forwarding_addressA forwarding address to send resumes straight into the pool
create_positionCreate a role from a job description
set_candidate_statusMove a candidate (shortlist, pass, and so on) by chat

How it is different

Most screeners rank against keywords and quietly drop everyone below a threshold. Gemsift does the opposite: it surfaces the strong people who read weak on paper, unifies applicants from every source into one pool, removes duplicates, and flags likely fraud, all with the reasoning visible so you can trust or overrule it.

Learn more and get a key: https://gemsift.com

來源:README.md,提交 fb1cdfd

工具

0
SourceWeft 尚未讀取此伺服器的工具。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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