How to Use the Deputy MCP in LangChain

Build complex workforce chains in LangChain by linking Deputy shift data directly into your agent's reasoning process.

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Connect Deputy MCP to LangChain

Create your Vinkius account to connect Deputy to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Deputy shifts in LangChain

Your agent uses `list_active_rosters` to grab shift data and pipes it into downstream tasks. You define the logic that decides when to pull this data. This MCP Server feeds raw JSON into your chain. LangSmith tracks every step so you see exactly how the agent processed the shift info.

Automate employee lookups

Connect `search_employees_by_name` to your LangChain agent to resolve IDs from plain text inputs. It turns names into specific API identifiers instantly. Once the agent has the ID, it chains that into `get_employee_profile`. You get a complete picture of the staff member without manual database queries.

Process timesheets in pipelines

Feed `list_completed_timesheets` into your agent to calculate hours or flag discrepancies. It treats Deputy data as just another node in your graph. Because it's stateless, you control the session. You decide when the agent commits these records to your own internal logs.

Setup guide

Set up Deputy MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Deputy tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "deputy-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Deputy transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Install the necessary adapters and initialize the MultiServerMCPClient with your Vinkius endpoint URL. Pass the result of get_tools into your agent configuration to grant it access to the Deputy API.

Yes, you can register all ten tools simultaneously. The agent selects the right one based on the current step in your chain.

Absolutely. Since you are using LangSmith, every tool call is logged. You can inspect the input and output for every Deputy interaction.

The connection uses encrypted transport between your agent and the Vinkius sandbox. Only the metadata and shift records you explicitly request are ever touched.

The agent will raise an exception you can catch in your chain. Check your endpoint token and ensure your Deputy permissions allow the requested action.

Use it with your favorite AI tools

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