Recruitee MCP Server

@EmpoweredHouse

Basic information

About Recruitee MCP Server

No overview available yet

Recruitee MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Recruitee MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

What transport methods does the server support?

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

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/`.

What API does it use?

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

What programming language and framework is it built with?

The server is written in Python using the FastMCP framework.

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.

Comments

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