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Recruitee MCP Server

@EmpoweredHouse

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

EmpoweredHouse

关于 Recruitee MCP Server

暂无概览

Recruitee MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Recruitee MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

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