About Greenhouse
Greenhouse is an MCP server that wraps the Greenhouse Harvest API v1 for ATS data. It lets recruiting teams search candidate and application records and inspect job details and pipelines.
Key features
- 01Search ATS candidates
- 02Retrieve candidate profiles and history
- 03Browse job postings and details
- 04View applications by job or stage
Use cases
- 01Review a candidate’s contact and interview history
- 02Check hiring-team and job requirements
- 03Track applications through screening or interviews
MCP support
Exposes Greenhouse candidate, job, and application tools to MCP clients. It can run as a local stdio server or connect through the Pipeworx gateway; API-key access is required for the pack.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://gateway.pipeworx.io/greenhouse/mcpclaude mcp add --transport http pipeworx-io-greenhouse https://gateway.pipeworx.io/greenhouse/mcp{"mcpServers":{"pipeworx-io-greenhouse":{"type":"http","url":"https://gateway.pipeworx.io/greenhouse/mcp"}}}Open in Cursor{"servers":{"pipeworx-io-greenhouse":{"type":"http","url":"https://gateway.pipeworx.io/greenhouse/mcp"}}}Open in VS Code{"mcpServers":{"pipeworx-io-greenhouse":{"type":"http","url":"https://gateway.pipeworx.io/greenhouse/mcp"}}}{"mcpServers":{"pipeworx-io-greenhouse":{"serverUrl":"https://gateway.pipeworx.io/greenhouse/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEmcp-greenhouse
Greenhouse MCP Pack — wraps the Greenhouse Harvest API v1
Part of Pipeworx — an MCP gateway connecting AI agents to 1879+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
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 1879+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
This pack takes your own API key (_apiKey) — we don't front one for it, so there's no curl here that would run without it. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/greenhouse_list_candidates. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"greenhouse": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-greenhouse"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-greenhouse
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.