benmonopoli/open-greenhouse-mcp

Overview

An open-source MCP server that connects AI assistants to the Greenhouse applicant tracking system via the Model Context Protocol. It enables automated recruitment workflows by exposing Greenhouse data and actions to compatible AI tools. Built in Python, it is designed for production use by recruiters and hiring teams.

Best for

Best for
Recruitment teams wanting to integrate AI assistants with Greenhouse

Use cases

• Automating candidate sourcing and screening with AI assistants
• Integrating AI tools for interview scheduling and status updates
• Building custom recruitment bots that query Greenhouse data

Notes

An open-source MCP server that connects AI assistants to the Greenhouse applicant tracking system via the Model Context Protocol. It enables automated recruitment workflows by exposing Greenhouse data and actions to compatible AI tools. Built in Python, it is designed for production use by recruiters and hiring teams.

3 stars on GitHub. Last updated 2026-04-23. Licensed MIT.

Use cases

• Automating candidate sourcing and screening with AI assistants
• Integrating AI tools for interview scheduling and status updates
• Building custom recruitment bots that query Greenhouse data

Pros

• Open source and free to use with no licensing costs
• Python-based, making it easy to extend or modify
• Designed for production use with the Greenhouse API

Cons

• Low community adoption (3 stars) may indicate limited support
• Requires self-hosting and managing Greenhouse API credentials
• Documentation and examples may be sparse beyond the repository

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