広告掲載
MCP.so
ログイン

Recruitee MCP Server

@EmpoweredHouse

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

EmpoweredHouse

Recruitee MCP Server について

概要はまだありません

Recruitee MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "recruitee": {
      "command": "/path/to/.venv/bin/python",
      "args": [
        "/path/to/recruitee-mcp-server/app/app.py",
        "--transport",
        "stdio"
      ]
    }
  }
}

Recruitee MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Recruitee MCP Server?

Recruitee MCP Server is a Model Context Protocol (MCP) server for Recruitee that enables advanced, AI-powered search, filtering, reporting, and analytics on recruitment data. It is designed for developers and recruiters who want to connect MCP-compatible AI agents to Recruitee for structured, agent-friendly data access.

How to use Recruitee MCP Server?

Configure your MCP client with the server command or remote URL. For local development, use stdio transport and run with mcp-cli. For production deployments, use streamable-http transport (e.g., to https://recruitee-mcp-server.fly.dev/mcp). Remote access requires a bearer token set via MCP_BEARER_TOKEN.

Key features of Recruitee MCP Server

  • Advanced candidate search and filtering by skills, status, talent pool, job, tags
  • Recruitment summary reports (time in stage, total process duration)
  • Recruitment statistics (average salary, time to hire, contract type stats)
  • General search across candidates, recruitments, and talent pools
  • Prompt templates for consistent LLM-based summaries
  • Supports stdio, streamable-http, and SSE transport methods

Use cases of Recruitee MCP Server

  • Find candidates with specific skills who were rejected for salary expectations
  • Generate summary reports of recruitment lifecycle duration per stage
  • Calculate average expected salary for backend roles
  • Quickly locate candidates or talent pools by name or attribute
  • Automate recruitment analytics and reporting via AI agents

よくある質問

1

What transport methods does the server support?

The server supports stdio (local), streamable-http (recommended for remote/production), and SSE (deprecated in some frameworks).

2

How do I deploy to Fly.io?

Set secrets in a `.env` file, then run `flyctl auth login` and `make deploy`. The server will be live at `https://recruitee-mcp-server.fly.dev/`.

3

What API does it use?

It uses the Recruitee Careers Site API, documented at https://docs.recruitee.com/reference/intro-to-careers-site-api.

4

What programming language and framework is it built with?

The server is written in Python using the FastMCP framework.

5

Is there authentication for remote access?

Yes, remote access via streamable-http requires a bearer token passed as an environment variable (`MCP_BEARER_TOKEN`) or as a header.

コメント

「その他」の他のコンテンツ

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

MCP Toolbox for Databases

googleapis

MCP Toolbox for Databases is an open source MCP server for databases.

15.9K
P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

EverArt

modelcontextprotocol

Model Context Protocol Servers

88.1K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K
広告掲載