Greenhouse MCP

Connect approved AI tools to Greenhouse with MCP

Your organization may already be using AI tools like Claude, ChatGPT, or Gemini to summarize information, answer questions, or support everyday work. But when those tools sit outside your hiring systems, teams can run into a familiar problem: the AI is only as useful as the context it can safely access.

Greenhouse MCP gives teams a governed way to connect approved AI tools to Greenhouse. Built on the Model Context Protocol, MCP enables permissioned access to Greenhouse data so organizations can create AI-powered workflows while maintaining control over what information is available and how it is used.

With Greenhouse MCP, teams can:

• Connect approved AI tools to Greenhouse. Give organization-approved tools and agents a secure way to access relevant Greenhouse context.
• Support more useful hiring workflows. Enable use cases like reporting insights, candidate or job context summaries, internal copilots, and cross-system workflow support.
• Keep access governed and permissioned. Use controlled connections designed to support responsible AI use, rather than giving AI tools broad or unmanaged access.
• Build on your existing AI strategy. Bring Greenhouse into the AI tools your organization already uses, instead of forcing teams into a one-size-fits-all assistant.

Greenhouse MCP is part of our broader approach to responsible AI in hiring: helping teams reduce manual work, make better use of their data, and keep humans in control of hiring decisions.

Stay tuned for release details.