How to Use the Jobvite MCP in OpenAI Agents SDK

Run safe, production-grade hiring workflows using OpenAI Agents SDK to manage your Jobvite pipeline with built-in guardrails.

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Connect Jobvite MCP to OpenAI Agents SDK

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

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Fast Candidate Updates via OpenAI Agents SDK

The `update_candidate` tool lets your agent modify candidate profiles in Jobvite the second their status changes. If an interview wraps up, the agent immediately pulls the profile using `get_candidate` to check for missing details and writes the updates directly back to your database. You don't have to write custom glue code or manually copy notes across browser tabs. Production systems need guardrails to prevent accidental writes, especially when dealing with candidate contact info. This integration exposes the tools directly to your agent stream, meaning your custom validation layers inspect every single write before it hits the Jobvite API. You get clean data without manual babysitting.

Automate Job Posting and Verification

The `create_job` tool builds new Jobvite requisitions directly from your agent's execution context. When a team lead requests a headcount change, your agent drafts the post, pulls active requisitions with `list_jobs`, and ensures you aren't creating duplicate openings. This MCP Server handles the connection details so your OpenAI agent can focus on logic. It queries `get_job` to verify hiring manager details and department codes, ensuring every new listing matches your compliance rules.

Track Application Status Transitions

The `update_application_status` tool changes candidate stages as they move through your hiring funnel. Your agent monitors incoming feedback, checks current status with `list_applications`, and advances the candidate without human delay. Running this via the OpenAI SDK means you can orchestrate multi-agent handoffs. One agent screens the resume using `list_candidates`, while another changes the status, keeping your pipeline moving at all hours.

Setup guide

Set up Jobvite 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 Jobvite tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the SDK using pip, then initialize the server stream using the streamable HTTP parameters pointing to your Vinkius endpoint. Pass the server instance directly into your Agent constructor's server list. The agent automatically discovers tools like `list_jobs` at runtime.

Yes, you control this at the agent definition level. If you only want an agent to read data, expose `get_candidate` and `list_candidates` while omitting the creation tools. This keeps your write operations secure.

The SDK relies on your application's error-handling policies, but Vinkius manages the underlying transport. If a tool like `update_application_status` hits a limit, you can catch the exception in your Python code and retry.

No, the MCP Server automatically exposes the JSON schemas for tools like `create_candidate` directly to your agent. The OpenAI client reads these schemas to understand exactly what parameters to send.

All candidate profiles and application records stay within your isolated Vinkius container. Your API tokens are encrypted, and data never persists on the host after the tool execution completes.

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