Connect Greenhouse to Claude, ChatGPT, and any MCP client
Everything to know before connecting Greenhouse to Claude, ChatGPT, or any MCP client: the buildability verdict, the proposed tools, and the guardrails.
Every system here gets an honest, affirmative path: verified and instant, buildable and provisioned, human-assisted, or a done-for-you conversation. Zero dead ends.
Where Greenhouse stands today
Employee records, time off, and open roles: people questions answered from the system of record.
Also searched as greenhouse recruiting, greenhouse ats. The vendor's developer documentation lives at developers.greenhouse.io. A machine-readable OpenAPI description is on file.
What a Greenhouse connector would expose
The proposal you review during intake, separated into Read and Write. Nothing writes without asking you first.
Generated from the published machine-readable spec, then run through validation gates before going live. The list shown here is a representative preview; the real spec build produces the full tool list.
- search_employees
Find employee records by name or department
- get_employee
Fetch one employee's profile fields
- list_time_off
List time-off requests and balances
- list_openings
List open positions and candidate counts
- update_employee_fieldconfirm
Update a non-sensitive profile field
fields: title, department, manager
- approve_time_offconfirm
Approve or decline a time-off request
fields: status, note
- add_candidate_noteconfirm
Add a note to a candidate
fields: body
- remove_employee_recorddestructivedry-run
Remove an employee record
fields: id
Every write asks first: it pauses on a preview of the exact change and runs only when you approve it, before anything reaches Greenhouse. Turn off anything you never want your AI to touch.
From "Greenhouse" to a working connector URL
Designed for operators, not developers. You never read API docs, manage tokens, or touch a line of code.
- 01
Name it
A 30-second eligibility check confirms your AI client accepts a custom connector URL, then you pick the software. This page pre-fills that step.
- 02
Describe what you need
Plain language, not configuration. What should the assistant be able to look up, and what should it be able to change?
- 03
Review your Connector Blueprint
The exact Read and Write tool list, before you pay anything. Every write ships on in confirm mode and asks before it runs, every tool is individually toggled, and anything destructive carries a distinct warning.
- 04
Deploy and paste the URL
You get a hosted connector URL plus paste-in instructions matched to your AI client, and a live test panel that confirms the connection.
Greenhouse runs as a one-account connector
Greenhouse supports a single credential, so the connector runs in Solo mode: it acts as one account and says so in plain language at auth time and in the dashboard. megamcp's own activity log still separates who did what by connection token.
Greenhouse authenticates with a credential pair sent over HTTPS basic auth. Credentials are encrypted at rest, never logged, and destroyed within 24 hours if you cancel.
Write access to Greenhouse your IT team will approve
Write tools work from the first minute, previewed through a human confirmation before anything lands, and logged with who, what, and when.
Confirm mode
Enabled writes run through Multi Round-Trip Requests: the tool pauses, shows a human-readable preview of the exact change, and only proceeds with approval. Nothing reaches Greenhouse on the model's intent alone.
Guardrails
Any tool can be turned off. Field-level constraints restrict what can be touched, per-tool rate limits are enforced at the gateway edge, and destructive operations ship in dry-run, demonstrating what they would do until you graduate them.
Activity log
Every tool call is logged: who, what, when, result. Write actions and confirmations are highlighted, redaction controls decide how much argument data is stored, and the log is append-only, with updates and deletes refused by the database.
Connecting Greenhouse: the specifics
Can my AI assistant write to Greenhouse?
Yes, with guardrails. Write tools work out of the box in confirm mode: every write asks first, pausing on a preview of the exact change before anything reaches Greenhouse. Destructive operations ship in dry-run and never execute until you graduate them, and you can turn off any tool you never want touched.
Is it safe to connect Greenhouse to an AI assistant?
Safety is the architecture, not a setting. Every write asks first: it pauses on a human confirmation with the exact change previewed before it reaches Greenhouse. Destructive operations demonstrate in dry-run and never execute until you graduate them, any tool can be turned off, and every call lands in an activity log with redaction controls.
If my team uses a Greenhouse connector, whose name is on the actions?
Greenhouse supports a single credential, so the connector runs in Solo mode and discloses it plainly: the connector acts as one account, stated at auth time and in the dashboard. megamcp's own activity log still preserves per-connection traceability, because every connection has its own token.
Which AI clients work with a Greenhouse connector?
Any client that accepts a remote MCP connector URL: Claude (Free, Pro, Max, Team, and Enterprise), ChatGPT on paid plans with developer mode enabled, Cursor, and other MCP-compatible clients. Team and Enterprise workspaces may need an admin to allow custom connectors first.
How long until a Greenhouse connector is live?
Typically the same day. Greenhouse publishes a machine-readable spec, so the pipeline generates the mapping, validates it, and deploys without waiting on a human.
Anything specific to the Greenhouse API worth knowing?
Yes. From our index notes on Greenhouse: Harvest API key as basic auth; On-Behalf-Of header for attribution.
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Same category, same connector quality. Every one gets an honest verdict.
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Connect Greenhouse. We take it from there.
Start a 14-day free trial, no card: live reads plus 3 supervised writes, each executed only after you approve it.