recruitee-mcp-server

pepuscz/recruitee-mcp-server

3.2

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The Recruitee MCP Server is designed to facilitate the extraction and analysis of candidate profiles from recruitment pipelines using the Recruitee API. It offers specialized functions for various use cases, including basic overviews, LLM evaluation, and detailed analysis.

The Recruitee MCP Server is a robust tool for managing and analyzing candidate data from recruitment pipelines. It is optimized for integration with AI systems, particularly those utilizing large language models (LLMs), by providing clean, bias-free candidate data. The server supports automatic extraction of CVs and cover letters, efficient processing of candidate information, and advanced search capabilities. It also allows access to evaluator feedback, making it a comprehensive solution for recruitment analysis. The server is designed to be flexible and efficient, with configurable options for performance optimization, making it suitable for both large-scale data processing and individual candidate analysis.

Features

  • LLM Evaluation Optimized: Provides clean, bias-free candidate data for AI analysis.
  • PDF Text Extraction: Automatically extracts text from CVs and cover letters using pdfplumber.
  • Screening Questions: Presents questions and answers in a clean format for easy evaluation.
  • Efficient Processing: Configurable CV text processing for performance optimization.
  • Advanced Search: Allows multi-criteria candidate filtering.

Usages

usage with local integration

{
  "mcpServers": {
    "recruitee": {
      "command": "python", 
      "args": ["-m", "recruitee_mcp.server"],
      "env": {
        "RECRUITEE_API_TOKEN": "your-token",
        "RECRUITEE_COMPANY_ID": "your-company-id"
      }
    }
  }
}

Tools

  1. get_candidates_from_pipeline_for_evaluation

    Recommended for LLM analysis with clean evaluation data.

  2. get_candidate_profile

    Provides a complete candidate profile with all administrative data.

  3. search_candidates

    Offers advanced candidate search with filtering.

  4. get_candidate_notes

    Accesses notes, ratings, and evaluator feedback.

  5. list_jobs

    Lists all available jobs/pipelines.

  6. get_job_details

    Provides detailed job information.