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Summary
Manage Workable ATS (candidates, jobs, members, stages, comments) from any AI agent. 9 tools, Bearer token auth.
Try asking
Example prompts for Workable
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Workable, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Workable + Gemini
Manage Workable ATS (candidates, jobs, members, stages, comments) from any AI agent. 9 tools, Bearer token auth.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
WORKABLE_SUBDOMAIN, WORKABLE_ACCESS_TOKEN
Step 1 — Get credentials
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 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Workableshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available tools
| 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
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.
Next steps
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