Greenhouse MCP
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Alternatives to Greenhouse MCP
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Related Servers
- AlicenseAqualityAmaintenanceProduction-ready MCP server for Greenhouse ATS that provides comprehensive recruitment tools—screening, pipeline analytics, search, and safe write operations—across read-only, recruiter, and full profiles.33MIT
- AlicenseNot gradedqualityCmaintenanceEnables recruiters and hiring operators to work inside the Greenhouse applicant tracking system from MCP clients, with per-user permission-scoped reads and a preview/apply flow for safe, auditable writes.6 npmMIT
- AlicenseNot gradedqualityDmaintenanceThis project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Greenhouse (beta): https://www.cdata.com/download/download.aspx?sku=PGZK-V&type=betaMIT
- AlicenseNot gradedqualityDmaintenanceEnables querying and managing Greenhouse recruiting data through MCP, including applications, candidates, jobs, and rejection operations.MIT
- FlicenseNot gradedqualityDmaintenanceA server implementation that enables interaction with Greenhouse's recruitment and applicant tracking system through Model Context Protocol, providing tools for job listings, candidate management, application filtering, and stage transitions.1-
- AlicenseNot gradedqualityCmaintenanceA hosted, OAuth-authenticated MCP endpoint exposing 176 tools that let AI assistants read and write jobs, candidates, applications, interviews, scorecards, prospects, talent pools, and imports within an organization's own applicant tracking data, scoped to the signed-in user's existing permissions.MIT
TDQS
Scored across 187 tools
Several tools have overlapping purposes, such as multiple candidate search/scan tools (search_candidates_by_name, search_candidates_by_email, list_candidates, scan_all_candidates, search_pipeline_candidates, scan_pipeline_resumes) and overlapping analytics (pipeline_metrics vs source_effectiveness, candidates_needing_action vs stale_applications). Descriptions provide cross-references and clarifications, but the sheer volume and similarity of some tools still create misselection risk.
Tool names mostly follow a consistent snake_case verb_noun pattern (e.g., list_jobs, get_candidate, create_application, update_interview). A few exceptions exist, such as noun-phrase names (pipeline_summary, candidates_needing_action) and prefixed families (webhook_*, board_*), but the overall convention is predictable and readable.
187 tools is an extreme mismatch for a single MCP server, far exceeding the 50+ threshold that indicates poor scoping. Many tools are thin CRUD wrappers or context-specific duplicates (e.g., board vs internal vs ingestion versions) that could be consolidated into fewer, more versatile tools.
The tool surface covers the entire Greenhouse ATS domain comprehensively: candidates, applications, jobs, interviews, offers, approvals, users, departments, offices, custom fields, tags, sources, rejection reasons, EEOC, webhooks, and ingestion. CRUD lifecycle operations are present for most resources, with no obvious dead ends for core workflows.