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How to Use the Guidebook MCP in OpenAI Agents SDK

Manage event schedules and attendee data directly in your OpenAI Agents SDK production pipeline.

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OpenAI Agents SDK

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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Automate Guidebook event logistics

Use `create_guide` and `update_guide` to push event updates from your backend straight to the mobile app. Your agent handles the heavy lifting, ensuring your schedule data stays current without manual intervention. This MCP Server provides the bridge for your agent to sync session changes. By triggering `list_events` and `get_event`, your system maintains an accurate representation of every workshop and keynote on the agenda.

Sync custom lists via OpenAI Agents SDK

Populate sponsor booths or speaker bios using `create_custom_list_item`. Your agent iterates through your database, mapping your internal records to the Guidebook format in real-time. You can pull existing data with `list_custom_lists` to verify current app state. It’s a clean way to keep your event content synced with your primary data source.

Verify Guidebook connections

Run `check_guidebook_status` as a diagnostic step in your agent's startup sequence. This ensures your connection is ready before the agent attempts to modify any live guides. It prevents runtime errors by checking the health of the API link. You’ll know immediately if the integration needs attention, keeping your production environment stable.

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. 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. 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. 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. 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())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Guidebook. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Guidebook MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Point it to your server endpoint, then pass it directly into your agent constructor to enable the tools.
Yes. You can use the `list_attendees` tool to pull participant data into your agent's memory. This allows your agent to process registration info or cross-reference attendee status.
The server uses Vinkius-managed auth, so your tokens stay secure. You can implement your own safety guardrails in your agent code to validate every action before it executes.
Your agent code should implement basic backoff logic. Since the MCP Server provides direct access to the API, you are responsible for pacing your requests.
It only accesses the event data you authorize, such as session schedules, attendee rosters, and custom list items. The server operates in an ephemeral sandbox, ensuring your private keys remain isolated.

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