How to Use the Troops MCP in LangChain

Q: Can I track job offers in LangChain using the Troops MCP Server?

Absolutely. Your agent calls listjobs, which filters out jobs by status (open, paused, etc.). This lets you build a chain that only acts on currently relevant opportunities.

Q: Does LangChain support managing timesheets with Troops?

Yes. Once onboarding is complete, your agent can run submittimesheet to log hours worked. This keeps the record current and chained directly after hiring actions.

Chain together HR workflows in LangChain by linking MCP tool calls to manage candidates and jobs.

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Connect Troops MCP to LangChain

Create your Vinkius account to connect Troops 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 Troops with LangChain

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Build recruitment pipelines with the Troops MCP Server.

Use `create_job` to register a new open position, then immediately call `create_candidate` if you find someone who matches. The output of defining the job offer feeds directly into the candidate creation step. You can build multi-step reasoning chains that manage an entire hiring sequence. For example, your agent first uses `get_candidate` to pull details, and then passes those results to generate a contract draft using `generate_contract`.

Track job status and candidate records in LangChain.

`list_jobs` lets you filter existing job offers by their current status—active, pending, or closed. If the search yields results, your agent can then iterate through them to pull specific data points using `get_candidate`, checking each person's file. This makes it easy for your ReAct agent to manage complex workflows. You don't just get a list; you get actionable data that drives the next tool call in the chain.

Process HR paperwork and timesheets using the MCP Server.

To finalize employment, your agent can run `generate_contract` to draft the document, followed by `sign_contract` which executes the signing action. This whole process is one continuous chain. After hiring, you keep things moving with `submit_timesheet`. By chaining these operations, you ensure that every necessary HR step—from job opening to paid time off—is executed in sequence.

Setup guide

Set up Troops 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 Troops 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({
    "troops-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 Troops transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Troops MCP in LangChain

The agent manages candidate data by chaining calls. You first use `get_candidate` to pull existing details, and then those specific records become inputs for subsequent tools like contract generation.

Absolutely. Your agent calls `list_jobs`, which filters out jobs by status (open, paused, etc.). This lets you build a chain that only acts on currently relevant opportunities.

You can manage the full lifecycle: from creating the job offer (`create_job`) to drafting and signing the final contract (`generate_contract` followed by `sign_contract`). It's a complete workflow.

Yes. Once onboarding is complete, your agent can run `submit_timesheet` to log hours worked. This keeps the record current and chained directly after hiring actions.

The Troops MCP Server manages sensitive employment records, specifically candidate personal details and timesheet submissions.

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