No install? Use cloud.anythingmcp.com directly.
Sign in, install the Greenhouse in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Manage Greenhouse (ATS recruiting: candidates, applications, jobs, scorecards, offers) from any AI agent. 10 tools, basic-auth.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Greenhouse, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Greenhouse + Gemini
Manage Greenhouse (ATS recruiting: candidates, applications, jobs, scorecards, offers) from any AI agent. 10 tools, basic-auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
GREENHOUSE_API_KEY
Step 1 — Ottieni le credenziali
This connector wraps the Greenhouse Harvest API v1 (harvest.greenhouse.io/v1).
Setup:
- In Greenhouse → ⚙️ Configure → Dev Center → API Credential Management → Create New API Key.
- Type: Harvest. Permissions: pick what you need (read candidates/applications/jobs minimum; write for create endpoints).
- Set
GREENHOUSE_API_KEY.
Authentication: HTTP Basic — API key as username, empty password.
On-Behalf-Of header: write endpoints REQUIRE On-Behalf-Of: <user_id> to attribute the action to a specific Greenhouse user. Pass on_behalf_of parameter when writing.
…(continued in the in-app connector instructions)
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Greenhousedovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| Tool | What it does |
|---|---|
greenhouse_list_candidates | List candidates |
greenhouse_get_candidate | Get one candidate with all applications + custom fields |
greenhouse_create_candidate | Create a candidate (+ optionally an application) |
greenhouse_list_applications | List applications |
greenhouse_advance_application | Move an application to the next pipeline stage |
greenhouse_reject_application | Reject an application with a reason |
greenhouse_list_jobs | List jobs |
greenhouse_get_job | Get one job with full job_post + hiring team + openings |
greenhouse_list_scorecards | List scorecards for an application |
greenhouse_list_users | List Greenhouse users (recruiters, interviewers, etc |
FAQ
Gemini 1.5 Pro o 2.x supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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