How do I get a Deputy API Token?

Log in to your Deputy account, navigate to **Account Settings** → **API**, and generate a new Permanent Token for your integration.

What is the subdomain?

It is the specific URL part of your Deputy portal, for example: 'mycompany.au.deputy.com'. You need to include the full host string.

Can the agent approve timesheets?

This integration currently focuses on listing and auditing workforce data. Approving timesheets or modifying rosters should be managed through the Deputy dashboard or mobile app.

Deputy MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Deputy
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Deputy as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Deputy. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Deputy?"
    )
    print(response)

asyncio.run(main())

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About Deputy MCP Server

Integrate Deputy, the ultimate workforce management solution, directly into your AI workflow. Manage your employee directory, monitor real-time shift rosters, track submitted timesheets, and handle leave requests using natural language.

LlamaIndex agents combine Deputy tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Workforce Visibility — List and retrieve detailed profiles for all employees in your Deputy organization.
Roster Monitoring — Track current and upcoming shift rosters to ensure proper coverage across locations.
Timesheet Tracking — Review submitted timesheets, including actual start and end times and approval statuses.
Leave Management — List and monitor employee leave and time-off requests pending approval.

The Deputy MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Deputy to LlamaIndex via MCP

Follow these steps to integrate the Deputy MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Deputy

Why Use LlamaIndex with the Deputy MCP Server

LlamaIndex provides unique advantages when paired with Deputy through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Deputy tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Deputy tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Deputy, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Deputy tools were called, what data was returned, and how it influenced the final answer

Deputy + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Deputy MCP Server delivers measurable value.

Hybrid search: combine Deputy real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Deputy to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Deputy for fresh data

Analytical workflows: chain Deputy queries with LlamaIndex's data connectors to build multi-source analytical reports

Deputy MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Deputy to LlamaIndex via MCP:

get_authenticated_user

Retrieve metadata for the current authenticated API user

get_employee_profile

Get detailed information for a specific employee

list_active_rosters

List all current and upcoming shift rosters

list_business_locations

List all physical business locations (companies) configured in Deputy

list_completed_timesheets

List timesheets submitted by employees

list_currently_active_shifts

Identify employees who are currently clocked in (mock logic)

list_leave_requests

List all employee leave and time-off requests

list_pending_leave_approvals

List only the leave requests that are awaiting manager approval

list_workforce_employees

List all employees in your Deputy organization

search_employees_by_name

Search for an employee by their display name

Example Prompts for Deputy in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Deputy immediately.

"List all employees currently clocked in."

"Show me the roster for the 'Downtown Kitchen' location tomorrow."

"Are there any pending leave requests?"

Troubleshooting Deputy MCP Server with LlamaIndex

Common issues when connecting Deputy to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Deputy + LlamaIndex FAQ

Common questions about integrating Deputy MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Deputy tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.