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Summary
Manage Workable ATS (candidates, jobs, members, stages, comments) from any AI agent. 9 tools, Bearer token auth.
Prova a chiedere
Prompt di esempio per Workable
Clicca su un prompt per copiarlo. Incollalo in Claude, ChatGPT, Cursor, Gemini, Copilot o OpenClaw per eseguirlo contro questo connettore.
Claude è un'AI e può sbagliare. Verifica sempre le risposte.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Workable, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Workable + Gemini
Manage Workable ATS (candidates, jobs, members, stages, comments) from any AI agent. 9 tools, Bearer token auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
WORKABLE_SUBDOMAIN, WORKABLE_ACCESS_TOKEN
Step 1 — Ottieni le credenziali
This connector wraps the Workable Hiring API (per-subdomain — yoursub.workable.com/spi/v3).
Setup:
- Log into your Workable account → top-right avatar → Integrations → Workable API → Generate access token.
- Note your subdomain (the part before
.workable.com). - Set
WORKABLE_SUBDOMAINandWORKABLE_ACCESS_TOKEN.
Authentication: Authorization: Bearer ${WORKABLE_ACCESS_TOKEN}.
Per-tenant baseUrl: https://${WORKABLE_SUBDOMAIN}.workable.com/spi/v3. Substituted at import time.
Job 'shortcode': Workable identifies jobs by short hash strings (AC123ABCDE) in URLs/API. Use workable_list_jobs to discover.
…(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 —Workabledovrebbe 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 |
|---|---|
workable_account_info | Returns the account info (subdomain, name, summary) |
workable_list_jobs | List jobs |
workable_get_job | Get a single job by shortcode with full description + requirements + benefits |
workable_list_candidates | List candidates for a job |
workable_get_candidate | Get one candidate by ID with full profile + answers to job questions |
workable_create_candidate | Create a candidate on a job (sourced / referral) |
workable_move_candidate_stage | Move a candidate to a different pipeline stage |
workable_disqualify_candidate | Disqualify (reject) a candidate with a reason |
workable_list_stages | List pipeline stages defined in the account |
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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