How to Use the Jaicob MCP in OpenAI Agents SDK

Q: How does Jaicob protect candidate profiles and application data in this SDK?

All data processed by createcandidate and listapplications travels through an encrypted V8 sandbox. We never store your recruitment database records on Vinkius servers, keeping your candidate PII isolated.

Connect OpenAI Agents SDK to your Jaicob pipeline to automate candidate intake and sync recruitment leads directly from your runs.

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Connect Jaicob MCP to OpenAI Agents SDK

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

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Sync Recruitment Pipelines in OpenAI Agents SDK

Your OpenAI agents can now query live hiring data directly during conversations. By exposing the Jaicob MCP Server to your run loop, the agent pulls active postings using `list_vacancies` or checks existing applicant profiles with `list_applications` without manual data entry. This setup runs through a secure HTTP connection, meaning your agent acts on real-time data. You don't have to write custom API wrappers because the SDK handles tool discovery out of the box.

Secure Candidate Creation with Guardrails

Create candidate profiles safely using the `create_candidate` tool inside your multi-agent architecture. The OpenAI Agents SDK applies built-in guardrails to check inputs before committing them to your database, preventing malformed submissions. If a user provides incomplete details, the agent stops the execution and asks for clarification. This prevents dirty data from polluting your CRM while keeping the registration process conversational.

Automated Handoffs for Complex Recruitment Leads

When an agent detects a high-value lead, it switches contexts to escalate the conversation. The agent uses `list_recruitment_leads` and `list_clients` to identify the right account owner and hand off the chat. This ensures that enterprise clients get immediate human attention. The entire interaction history remains visible in your OpenAI tracing dashboard for audit purposes.

Setup guide

Set up Jaicob 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 Jaicob tools at runtime.
3

Create your Agent

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

Run the agent

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

You install the library, initialize the MCPServerStreamableHttp client pointing to your Vinkius endpoint, and pass it to your agent constructor. The SDK automatically discovers tools like `list_candidates` and registers them instantly.

Yes, you configure this at the agent definition level. You can restrict the agent to only call `list_vacancies` while hiding sensitive write operations.

Set the cacheToolsList=True parameter when creating your server instance. This stops the SDK from refetching the tool definitions on every single message turn.

The SDK catches the execution error and passes the failure back to the agent. This allows the model to self-correct or cleanly escalate the issue to a human support agent.

All data processed by `create_candidate` and `list_applications` travels through an encrypted V8 sandbox. We never store your recruitment database records on Vinkius servers, keeping your candidate PII isolated.

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