Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the BambooHR in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Manage BambooHR (employees, time-off, custom reports, fields, files) from any AI agent. 9 tools, basic-auth.
Try asking
Example prompts for BambooHR
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 → BambooHR, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
BambooHR + Gemini
Manage BambooHR (employees, time-off, custom reports, fields, files) from any AI agent. 9 tools, basic-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:
BAMBOOHR_SUBDOMAIN, BAMBOOHR_API_KEY
Step 1 — Get credentials
This connector wraps the BambooHR REST API v1 (per-subdomain — api.bamboohr.com/api/gateway.php/<subdomain>/v1).
Setup:
- Sign in to your BambooHR portal → top-right avatar → API Keys → Add a new key.
- Note your subdomain (the part before
.bamboohr.com) and copy the key. - Set
BAMBOOHR_SUBDOMAINandBAMBOOHR_API_KEY.
Authentication: HTTP Basic — API key as username, literal x as password.
Path subdomain: BambooHR's API embeds the subdomain in the URL path. The adapter substitutes via runtime envVar.
…(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 —BambooHRshould 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 |
|---|---|
bamboohr_list_employees_directory | Returns the company directory: every employee's id, displayName, jobTitle, workEmail, department, division, location, supervisor |
bamboohr_get_employee | Get one employee by ID |
bamboohr_add_employee | Create a new employee |
bamboohr_update_employee | Update employee fields |
bamboohr_who_is_out | Returns the company-wide who's-out list for a date range |
bamboohr_list_time_off_requests | List time-off requests |
bamboohr_list_meta_fields | List every field defined in this account (built-in + custom) |
bamboohr_run_custom_report | Run a pre-defined custom report by its numeric ID |
bamboohr_get_employee_files | List files in an employee's record categorized by section |
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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