How to Use the Jebbit MCP in OpenAI Agents SDK

Get direct access to zero-party data inside your OpenAI Agents SDK workflow. Build reliable agents that act on real consumer insights.

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Connect Jebbit MCP to OpenAI Agents SDK

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

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Query Jebbit data within OpenAI Agents SDK

Your agent can now pull live zero-party data directly from your experiences. Use `list_experiences` to find active quizzes and `get_experience` to grab the specific structure you need for your logic. This bypasses manual exports. Your agent handles the data discovery, letting you focus on the actual agent orchestration and guardrail logic.

Audit your Jebbit integrations in real-time

Keep your production agent systems transparent by checking data flow. Use `list_webhooks` and `list_integrations` to verify where your consumer data is currently routing. Monitoring these connections ensures your agent doesn't act on stale or misrouted information. It keeps your pipeline clean and your data transit logged.

Manage Jebbit segments via your agent

Identify high-value cohorts without leaving your Python code. Use `list_segments` to retrieve current audience groupings and `list_attributes` to see exactly what data points you have captured. This allows your agent to make informed decisions on how to personalize interactions. You get precise control over segment targeting based on actual user activity.

Setup guide

Set up Jebbit 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 Jebbit tools at runtime.
3

Create your Agent

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

Run the agent

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

You connect the server by passing the MCP configuration into your Agent constructor. Once connected, your OpenAI Agents SDK setup will automatically discover all tools like `get_account` and `list_campaigns`.

The current Jebbit MCP server focuses on retrieval and auditing tools. You can read data via `list_attributes` and `list_users`, but you cannot modify records or write new attributes back to the platform.

Yes, because the tools return structured data, your existing validation logic will catch unexpected formats immediately. You can wrap calls like `list_reporting_jobs` in your standard pre-execution checks.

You should implement backoff logic in your agent's execution loop. Since the server provides direct access to the API, you are responsible for respecting the rate limits defined in your Jebbit account.

The server only exposes the specific consumer zero-party data that you have already collected. All transit is scoped to your provided token, ensuring the agent only interacts with data you have explicitly authorized.

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