How to Use the Troops MCP in OpenAI Agents SDK

Q: How do I handle candidate registration using Troops and the OpenAI Agents SDK?

Your agent calls createcandidate to register new people. It handles the necessary inputs for a fresh profile, making sure that data is immediately available for other tools like job listing.

Q: Can I track historical jobs using Troops and the OpenAI Agents SDK?

Yes. You use listjobs, which lets you filter by status. This means your agent can pull records of closed or paused positions, keeping a history right within the system.

Q: Does the MCP Server support different types of job offers?

It does. You use createjob to define a new role, and then you can check back later using listjobs. This is how your agent keeps track of all current openings.

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Connect Troops MCP to OpenAI Agents SDK

Create your Vinkius account to connect Troops to OpenAI Agents SDK 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 OpenAI Agents SDK

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Managing Candidate Data via MCP Server

Your agent can register new talent using `create_candidate` or pull existing records with `get_candidate`. This handles the initial intake process for all your hiring pipelines. It's reliable. The OpenAI Agents SDK validates every action, so you know exactly what candidate data gets logged and where it goes.

Handling Job Lifecycle in the OpenAI Agents SDK

Need to spin up a new opening? Use `create_job` to define the role parameters. You can also list existing opportunities using `list_jobs`, filtering by status—whether it's 'open' or 'on hold'. This sequence lets your agent manage job postings end-to-end, giving you full visibility into active recruitment efforts.

Processing Time and Contracts

When work is done, agents can submit hours with `submit_timesheet`. For finalizing hires, the system generates necessary paperwork via `generate_contract` before calling `sign_contract`. This covers pay through onboarding. It's a complete loop. The SDK handles these critical HR steps while maintaining strict guardrails on data integrity.

Setup guide

Set up Troops MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Troops tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Troops tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Troops tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Troops Agent",
            instructions="You have access to Troops tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Troops MCP in OpenAI Agents SDK

Your agent calls `create_candidate` to register new people. It handles the necessary inputs for a fresh profile, making sure that data is immediately available for other tools like job listing.

Yes. You use `list_jobs`, which lets you filter by status. This means your agent can pull records of closed or paused positions, keeping a history right within the system.

Your agent sequences the actions: first submitting hours with `submit_timesheet`, then generating the final agreement via `generate_contract`. The whole workflow stays contained within your production environment.

It does. You use `create_job` to define a new role, and then you can check back later using `list_jobs`. This is how your agent keeps track of all current openings.

The MCP Server touches Candidate Data. Since the OpenAI Agents SDK validates every action, you get an audit trail that confirms exactly who interacted with and what was recorded about each individual.

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