How to Use the ApplicantStack MCP in OpenAI Agents SDK

Q: Can I build a multi-agent screening system using ApplicantStack and OpenAI Agents SDK?

Yes, you can set up one agent to fetch jobs using listjobs and another to filter resumes with listcandidates, passing context between them using standard SDK handoffs.

Run production-grade hiring agents using OpenAI Agents SDK with raw ApplicantStack candidate data.

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Connect ApplicantStack MCP to OpenAI Agents SDK

Create your Vinkius account to connect ApplicantStack 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 ApplicantStack with OpenAI Agents SDK

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Sync applicant tracking with OpenAI Agents SDK

The `list_candidates` tool pulls raw applicant data directly into your OpenAI Agents SDK workflow. You pass these ApplicantStack profiles to specialized screening agents that flag top talent based on your custom criteria. Your OpenAI Agents SDK screening agent checks active ApplicantStack openings via `list_jobs` to match new resumes against current hiring needs. This keeps your recruiting pipeline moving without manual copy-pasting between platforms.

Automate hiring pipeline updates safely

The `update_candidate` tool lets your OpenAI Agents SDK agent move applicants through your hiring pipeline based on real-time decisions. By combining this MCP tool with OpenAI Agents SDK guardrails, you ensure that candidates only advance when they pass specific validation checks. You verify the underlying ApplicantStack connection instantly using the `get_account_check` tool before running any bulk pipeline updates. This keeps your automated hiring workflows reliable and prevents API errors from stalling your recruiters.

Deep candidate profiling for agent decisions

The `get_candidate` tool retrieves full resume details, contact info, and notes for any single ApplicantStack candidate. Your OpenAI Agents SDK setup analyzes this structured data to prep interview questions or draft personalized follow-up emails. Once a candidate receives an offer, the `list_hires` tool tracks their transition into onboarding status. This ensures your OpenAI Agents SDK agent knows exactly when to hand off the candidate from the recruiting phase to the HR phase.

Setup guide

Set up ApplicantStack 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 ApplicantStack tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ApplicantStack 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="ApplicantStack Agent",
            instructions="You have access to ApplicantStack 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 ApplicantStack MCP in OpenAI Agents SDK

Install the SDK first, then instantiate MCPServerStreamableHttp using your Vinkius endpoint. Pass this server instance directly inside the mcp_servers list when initializing your OpenAI Agents SDK agent.

Yes, the OpenAI Agents SDK auto-discovers all seven tools, including list_candidates and update_candidate. Set cacheToolsList=True in your configuration to keep your agent runs fast and responsive.

The OpenAI Agents SDK relies on built-in error handling and backoff strategies during tool execution. When your agent calls list_jobs or get_candidate, it respects the platform limits to avoid API throttling.

Yes, you can set up one agent to fetch jobs using list_jobs and another to filter resumes with list_candidates, passing context between them using standard SDK handoffs.

Your candidate resumes, contact details, and hiring notes are processed inside an ephemeral Vinkius sandbox. No applicant data is stored on Vinkius servers, and all API calls to ApplicantStack use your secure MCP endpoint token.

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