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 LangChain 10 tools — connect in under 2 minutes

Name: Deputy
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Deputy through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "deputy": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Deputy, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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.

LangChain's ecosystem of 500+ components combines seamlessly with Deputy through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Deputy via MCP

Why Use LangChain with the Deputy MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Deputy MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Deputy queries for multi-turn workflows

Deputy + LangChain Use Cases

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

RAG with live data: combine Deputy tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Deputy, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Deputy tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Deputy tool call, measure latency, and optimize your agent's performance

Deputy MCP Tools for LangChain (10)

These 10 tools become available when you connect Deputy to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Deputy + LangChain FAQ

Common questions about integrating Deputy MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.