Troops MCP Server for LangChainGive LangChain instant access to 7 tools to Create Candidate, Create Job, Generate Contract, and more

Name: Troops
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Troops MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "troops": {
            "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 Troops, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Troops MCP Server

Connect your Troops account to any AI agent to streamline your recruitment and HR operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Troops through native MCP adapters. Connect 7 tools via 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

Job Management — List existing job offers or create new ones with specific locations and dates using list_jobs and create_job.
Candidate Pipeline — Register new candidates and retrieve detailed profiles instantly with create_candidate and get_candidate.
Contract Automation — Generate legal contracts for specific jobs and trigger electronic signature processes via generate_contract and sign_contract.
Time Tracking — Submit and manage timesheets for active contracts to ensure accurate payroll using submit_timesheet.

The Troops MCP Server exposes 7 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Troops tools available for LangChain

When LangChain connects to Troops through Vinkius, your AI agent gets direct access to every tool listed below — spanning job-management, candidate-tracking, timesheets, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create candidate on Troops

create

Create job on Troops

Create a new job offer

generate

Generate contract on Troops

Generate a contract

get

Get candidate on Troops

Get candidate details

list

List jobs on Troops

Can be filtered by status. List job offers

sign

Sign contract on Troops

Sign a contract

submit

Submit timesheet on Troops

Submit a time sheet

Connect Troops to LangChain via MCP

Follow these steps to wire Troops into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 7 tools from Troops via MCP

Why Use LangChain with the Troops MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Troops 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 Troops queries for multi-turn workflows

Troops + LangChain Use Cases

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

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

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

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

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

Example Prompts for Troops in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Troops immediately.

"List all published job offers in the system."

"Register a new candidate: Alice Smith, alice.smith@email.com."

"Generate a contract for candidate cand_987 for job job_001 with a salary rate of 55."

Troubleshooting Troops MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Troops + LangChain FAQ

Common questions about integrating Troops 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.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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