How to Use the Guidebook MCP in OpenAI Agents SDK

Q: How do I sync Guidebook with OpenAI Agents SDK?

Connect the server using the MCPServerStreamableHttp class in your agent constructor. Your agent then auto-discovers tools like listguides to begin data synchronization.

Q: Can OpenAI Agents SDK use Guidebook for custom lists?

Absolutely. Use listcustomlists to pull your exhibitor or sponsor data into your agent's context. This allows your agent to manage these lists programmatically.

Push event data to your mobile apps instantly using the Guidebook MCP Server within the OpenAI Agents SDK.

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Connect Guidebook MCP to OpenAI Agents SDK

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

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Manage event sessions with OpenAI Agents SDK

Stop manual data entry for your mobile event schedules. Your agent uses `list_sessions` to pull current agendas and `get_session` to verify specific timing or description changes. This keeps your mobile app synced with your internal database. Your agent identifies schedule conflicts before they hit the attendee interface.

Automate speaker profiles for OpenAI Agents SDK

Keep your speaker bios accurate without touching the dashboard. Your agent triggers `list_speakers` to audit current entries and `get_speaker` to pull granular details for automated updates. Everything happens in your production pipeline. Your agent validates the data against your internal records before committing changes to the mobile app.

Monitor Guidebook API limits with OpenAI Agents SDK

Avoid silent failures during high-traffic event days. Your agent queries `get_rate_limit` before executing bulk operations to ensure your sync tasks stay within allowed thresholds. This prevents the API from dropping updates during critical periods. Your agent logs current usage metrics directly to your dashboard for real-time visibility.

Setup guide

Set up Guidebook 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 Guidebook tools at runtime.
3

Create your Agent

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

Run the agent

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

Connect the server using the `MCPServerStreamableHttp` class in your agent constructor. Your agent then auto-discovers tools like `list_guides` to begin data synchronization.

Yes. Since your agent treats these tools as native functions, you can wrap them in your existing validation logic. This ensures every `get_session` call passes your internal schema checks.

Absolutely. Use `list_custom_lists` to pull your exhibitor or sponsor data into your agent's context. This allows your agent to manage these lists programmatically.

It doesn't store your data. It acts as a transient bridge between your agent and the API, processing only the session and speaker records you request during the session.

Your connection relies on an ephemeral endpoint token. No sensitive data persists on our infrastructure, ensuring your session and speaker lists remain private to your agent instance.

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