Recruitee FAQs

Question 1

What is Recruitee MCP Server?

Accepted Answer

Recruitee MCP Server is a Model Context Protocol (MCP) server designed to extract clean, structured candidate profiles from your Recruitee recruitment pipelines. It's specifically optimized to prepare this data for AI analysis and Large Language Model (LLM) evaluation.

Question 2

How do I install and configure Recruitee MCP Server?

Accepted Answer

You can install it by cloning the repository and running `pip install -e .`. Configuration involves setting your `RECRUITEE_API_TOKEN` and `RECRUITEE_COMPANY_ID` as environment variables for secure API access.

Question 3

How does it optimize candidate data for LLM analysis?

Accepted Answer

It provides a dedicated function, `get_candidates_from_pipeline_for_evaluation`, which delivers clean, bias-free candidate data. This includes parsed CV and cover letter text, structured screening questions, and flattened skill arrays, making it ideal for direct input into AI models.

Question 4

What types of candidate information can I extract?

Accepted Answer

You can extract various data points including basic candidate overviews, comprehensive detailed profiles, LLM-optimized evaluation data (CV text, screening Q&A, skills), and separate access to evaluator notes, ratings, and feedback. It also supports listing jobs and their details.

Question 5

Can I filter candidates using this tool?

Accepted Answer

Yes, the `search_candidates` function allows advanced multi-criteria filtering across all candidates. You can filter by job IDs, stage names, status, or whether a candidate has a CV or cover letter, providing flexible access to your talent pool.

Recruitee

Recruitee

Key Features

Use Cases

Key Features

Use Cases