How to Use the Deputy MCP in Cursor

Q: Does the Deputy integration with Cursor support leave tracking?

Yes. Cursor can call listleaverequests and listpendingleaveapprovals to retrieve time-off data. You can use this to build or test custom leave-management dashboards.

Q: What permissions does the authenticated user tool require?

The getauthenticateduser tool uses your standard Deputy API token. It requires the same read permissions that your user account has in the main platform.

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Connect Deputy MCP to Cursor

Create your Vinkius account to connect Deputy to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Deputy with Cursor

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Write code with real roster data in Cursor

The `list_active_rosters` tool lets your editor pull live roster information directly into your coding environment. This MCP Server lets you write code against actual schedules instead of writing code against mock employee objects. You can also test location-based features using `list_business_locations`. Having the real API response format on hand means you write working code on the first try, skipping the usual guess-and-test cycle.

Inspect timesheets directly in your editor

The `list_completed_timesheets` tool pulls completed records straight into your chat or terminal window to simplify payroll debugging. You can instantly compare your local database schema against the actual payload from Deputy. To make sense of the hours worked, the agent calls `get_employee_profile` to link timesheets to specific workers. It gives you the full context needed to fix data mapping bugs without leaving your IDE.

Query your workforce database from Cursor

The `list_workforce_employees` tool pulls your entire staff list so you can build custom HR integrations with reliable data. Your agent can also run `search_employees_by_name` to pinpoint individual profiles. Verify API credentials on the fly using `get_authenticated_user` to check permissions. This step ensures your development environment has the correct access levels before you deploy.

Setup guide

Set up Deputy MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Deputy MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Deputy transactions." If the MCP tools are loaded correctly, Cursor will call the Deputy tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "deputy-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Deputy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Deputy MCP in Cursor

Add the MCP Server configuration to your global or project-specific configuration file. Once added, Cursor's AI agent can call the Deputy API tools during your coding sessions.

Yes, Cursor's Agent mode can actively run tools from this MCP Server like `list_currently_active_shifts` to fetch real-time clock-in data. This lets the AI write and test code using live operational metrics.

Yes. Cursor can call `list_leave_requests` and `list_pending_leave_approvals` to retrieve time-off data. You can use this to build or test custom leave-management dashboards.

The `get_authenticated_user` tool uses your standard Deputy API token. It requires the same read permissions that your user account has in the main platform.

We route your timesheets and employee profiles through an ephemeral V8 sandbox. No data is stored or logged on our servers, keeping your sensitive payroll details completely private.

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