Gemsift Mcp

io.github.erashev-fedor由 GitHub 账号 erashev-fedor 发布v1.0.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行效率与工作流商业与电商

概览

AI 生成的概览

Gemsift 是一个托管式 MCP 服务器，让 AI 助手通过对话查询招聘者的候选人库，完成筛选、入围和候选人状态调整。

可以做什么
列出开放职位及候选人数，并获取某职位的入围名单，包括关键词筛选容易漏掉的潜力人选。查看候选人的解析档案和各职位评估，了解其排名原因（匹配、缺失、可迁移）。检查库中重复、信息一致性和欺诈信号。根据职位描述创建职位，并获取用于投递简历的转发地址。通过对话将候选人移动到入围、淘汰等状态。
适用场景
适合自行做初筛的个人或猎头招聘者以及小型内部招聘团队：想直接问助手谁值得约谈、某人为何排在这个位置，或在对话中推进候选人流程而无需切换工具。
运行要求
托管远程端点，无需安装。需要 Gemsift 账户，以及从账户设置获取的按工作区密钥，通过 Authorization 的 Bearer 请求头发送。需要能访问该服务的网络。
安装前请注意
工作区密钥是敏感凭据，通过 Authorization 请求头发送，可访问你的候选人库。工具可创建职位并更改候选人状态，助手操作会修改招聘数据。候选人档案和评估会发送给你所连接的 AI 助手。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Gemsift Mcp，将其添加到工作区。
  2. 连接 Authorization token 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.erashev-fedor%2Fgemsift-mcp/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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

来源：README.md，提交 fb1cdfd

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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