Summary
Wraps the Greenhouse Harvest API v1 to let AI agents interact with your applicant tracking system. You get five tools covering the main recruiting workflows: search and retrieve candidate profiles with resumes and interview history, browse job postings with hiring team details, and filter applications by pipeline stage. Runs through Pipeworx's gateway as a streamable HTTP server, so no local setup. Useful when you're building recruiting assistants that need to pull candidate data, check application status, or answer questions about your hiring pipeline without manual API calls.
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one prompt install →mcp-greenhouse
Greenhouse MCP Pack — wraps the Greenhouse Harvest API v1
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
| Tool | Description |
|---|---|
greenhouse_list_candidates | Search candidates in your ATS. Returns names, IDs, email addresses, and application status. Use greenhouse_get_candidate for full profile details. |
greenhouse_get_candidate | Get full candidate profile by ID. Returns resume, contact info, application history, interviews, and notes. |
greenhouse_list_jobs | Browse open and closed job postings. Returns titles, IDs, departments, statuses, and posting dates. Use greenhouse_get_job for full details and candidate pipeline. |
greenhouse_get_job | Get complete job details by ID. Returns description, requirements, hiring team, and linked applications. |
greenhouse_list_applications | View job applications across your pipeline. Returns applicant names, job IDs, application status, and submission dates. Filter by job or stage (e.g., 'screening', 'interview'). |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"greenhouse": {
"url": "https://gateway.pipeworx.io/greenhouse/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/greenhouse/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Greenhouse data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →